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CHEAT Manifesto Agentic AI Automates Cheating

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CHEAT Manifesto Agentic AI Automates Cheating

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Lesson Planning, Iterative AI Prompting, and Rubber Ducks

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Lesson Planning, Iterative AI Prompting, and Rubber Ducks

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Meta-Prompting: The Secret to Better AI Results

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Meta-Prompting: The Secret to Better AI Results

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Meta-Prompting: The Secret to Better AI Results

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Meta-prompting—using AI to help you craft better prompts—is one of the most powerful yet underutilized techniques for improving your AI interactions.

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I guess I’m carving out a space focused on AI metaphors. First it was working with Anna Mills to suggest “mirage” rather than “hallucination” as a metaphor for when AI gets it wrong. Now I’m fixated on this thing we keep hearing about the importance of keeping humans “in the loop” with AI. We need to stop this kind of talk. Our idea of properly deployed AI should not be just that there are humans “in the loop” of AI, presumably monitoring and adjusting AI activities to align them with human priorities and values. Instead, we should be working toward a world where AI only operates when i

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Gen AI Faculty Showcase (The New School)

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Gen AI Faculty Showcase (The New School)

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Navigating AI: Build Your Parent Playbook

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Navigating AI: Build Your Parent Playbook

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Navigating AI: Build Your Parent Playbook

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Ctrl + Alt + Achieve NotebookLM: K-12 AI Guidance and Policies

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Ctrl + Alt + Achieve NotebookLM: K-12 AI Guidance and Policies

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Not your computer? Use a private browsing window to sign in. Learn more about using Guest mode

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The Gazette • Western University's Student Newspaper

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Ivey professor experiments with AI in class

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Ivey professor Tony Frost used AI to mark his students’ midterm exams, and talked to the Gazette about his experience.

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Stacy Ybarra - The AI-Resistant Pedagogy Studio

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Stacy Ybarra - The AI-Resistant Pedagogy Studio

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Welcome! We gather at a fascinating and challenging time in education. The theme of this conference, ‘Community as Resistance,’ deeply resonates with our topic today. As AI tools become more prevalent, our role as educators shifts. We’re not just imparting knowledge, but fostering human capacities that resist automation and commodification. The strength of our communities – our classrooms, our departments, our institutions – will be our greatest asset in this resistance.

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https://drive.google.com/file/d/17jdDshpMugTqpKRYlpS5f8AAcwHo015V/view?pli=1

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Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

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Generative AI at U Chicago - Strategies for Designing AI-Resistant Assignments

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Generative AI at U Chicago - Strategies for Designing AI-Resistant Assignments

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Welcome! We gather at a fascinating and challenging time in education. The theme of this conference, ‘Community as Resistance,’ deeply resonates with our topic today. As AI tools become more prevalent, our role as educators shifts. We’re not just imparting knowledge, but fostering human capacities that resist automation and commodification. The strength of our communities – our classrooms, our departments, our institutions – will be our greatest asset in this resistance.

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AI Literacy Frameworks: List of Frameworks

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AI Literacy Frameworks: List of Frameworks

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Public NotebookLM - Strategies for Reducing Cheating and AI Misuse in Online Courses

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Public NotebookLM - Strategies for Reducing Cheating and AI Misuse in Online Courses

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Not your computer? Use Guest mode to sign in privately. Learn more about using Guest mode

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MLA Statement on Educational Technologies and AI Agents

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MLA Statement on Educational Technologies and AI Agents

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Statement on Educational Technologies and AI Agents

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The following statement of endorsement was drafted by the MLA Task Force on AI in Research and Teaching. The Executive Council approved it as an MLA statement in October 2025.Software, specifically learning management systems (LMSs), is as important to…

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LibreTexts (Humanities) - AI and College Writing: An Orientation (Anna Mills)

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LibreTexts (Humanities) - AI and College Writing: An Orientation (Anna Mills)

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Reinforcing Academic Integrity in the Age of AI: A Guide for Instructors

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Reinforcing Academic Integrity in the Age of AI: A Guide for Instructors

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A Guide for Instructors

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This Guide is a 2024 version of the 2023 Crafting Your GenAI & AI Policy : A Guide for Instructors , which was designed to help university/college instructors think through their courses and their assessments to decide if they need to be redesigned for the age of AI before crafting their GenAI and AI Policy.

That 2023 Guide is based on the premise that many courses and assessments likely need to be rethought and redesigned in the age of AI, and that instructors should consider if there is any redesigning they want to do before finalizing their GenAI & AI Policy.

This 2024 Guide better enables course instructors to navigate through the material, but also provides some more fundamentals - the "first day of class is around the corner, what do I need to do now" strategies. Fundamentals like understanding how GenAI works, choosing my GenAI policy, securing assessments, talking about GenAI with my students, identifying misuse and addressing suspected misuse. For those instructors already comfortable with the fundamentals, they can find material in this Guide to go further by assessing the impact of GenAI on my course assessments and "delving" ( see what I did there? ) into assessment redesign.

(last updated September 10, 2024; site is still in the process of being updated/added to. If you want anything added or see corrections to be made, please email tbg@ucsd.edu)

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Everything you need to know to Craft a GenAI Policy for Your Courses

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Doug Holton-Hillsborough College-Strategies for Reducing Student Misuse of AI in Your Courses + Handout

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Doug Holton-Hillsborough College-Strategies for Reducing Student Misuse of AI in Your Courses + Handout

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https://docs.google.com/document/d/1CKGVICgEjkfp2hVkXQR4y8rNOKRajgjk5cbot52pE9Y/edit?tab=t.0#heading=h.ayac8oyj4keb

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Strategies for Reducing Student Misuse of AI in Your Courses

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In the Room Where It Happens: Generative AI Policy Creation in Higher Education

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In the Room Where It Happens: Generative AI Policy Creation in Higher Education

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In the Room Where It Happens: Generative AI Policy Creation in Higher Education

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To develop a robust policy for generative artificial intelligence use in higher education, institutional leaders must first create "a room" where dive

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Designing Pedagogy-Driven AI for Language Learning

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Designing Pedagogy-Driven AI for Language Learning

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The LMS Is Dead; Long Live Online Teaching

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The LMS Is Dead; Long Live Online Teaching

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Inside Higher Ed | Higher Education News, Events and Jobs

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The LMS Is Dead; Long Live Online Teaching (opinion)

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Our online classes are built on outdated infrastructure.

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Everyone is Cheating Their Way Through College

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Everyone is Cheating Their Way Through College

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Everyone Is Cheating Their Way Through College

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ChatGPT has unraveled the entire academic project.

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Everyone’s Using AI to Cheat at School. That’s a Good Thing.

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Everyone’s Using AI to Cheat at School. That’s a Good Thing.

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There's an epidemic of cheating in American education right now. The cheaters are the students of course, but the names of the cheating aids might be familiar to you: ChatGPT, Claude, Gemini, Grok, and Llama.

These characters are capable of doing extraordinary things: writing your persuasive essay in under a minute; knowing virtually all of history; and performing first-rate synthetic analyses of complicated questions. They are not yet geared up to do mathematics, but the best of these programs already can pass medical and bar exams. Oh, and they can do it for millions of students all at once, even sometimes all the way up to graduate-level work.

I'm talking, of course, about large language models (LLMs).

Accurate data is hard to come by, but one estimate suggests that up to 90 percent of college students have used ChatGPT to do their homework. Rather than debating the number, professors and teachers simply ought to assume (and I do) that your students have an invisible, very high-quality helper. As current norms weaken further, more students learn about AI, and the competitive pressures get tougher, I expect the practice to spread to virtually everyone.

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Everyone's Using AI To Cheat at School. That's a Good Thing.

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It's not just the college students. I'm a professor-and these AI models offer keener, smarter, and more thorough suggestions than I do, writes Tyler Cowen.

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Inside the race to catch the worryingly real fakes that can be made using artificial intelligence.

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Karen Hao - Tech Review - The messy, secretive reality behind OpenAI’s bid to save the world

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Karen Hao - Tech Review - The messy, secretive reality behind OpenAI’s bid to save the world

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The messy, secretive reality behind OpenAI’s bid to save the world

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The AI moonshot was founded in the spirit of transparency. This is the inside story of how competitive pressure eroded that idealism.

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For young people, AI is now a second brain – should we worry?

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For young people, AI is now a second brain – should we worry?

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In an era of split attention, there is more than one type of ADHD

How to use AI chatbots to make you smarter, not dumber

Why AI's hallucinations are like the illusions of narcissism

How to use AI chatbots to make you smarter, not dumber

Use AI thoughtlessly and it dulls your mind. But with a strategic approach and the right prompts, it can be a powerful tool

by Nick Kabrel

Why AI's hallucinations are like the illusions of narcissism

Unable to handle uncertainty, AI mimics the narcissistic compulsion to fill voids with plausible but false narratives

by Jennine Gates

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For young people, AI is now a second brain - should we worry? | Psyche Ideas

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As a resident tutor, I've seen how students are using AI as more than a tool. It's a psychological shift we'll soon all make

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Operation Grandma: A Tale of LLM Chatbot Vulnerability

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Operation Grandma: A Tale of LLM Chatbot Vulnerability

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Operation Grandma: A Tale of LLM Chatbot Vulnerability

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Who doesn’t like a good bedtime story from Grandma? In today’s landscape, more and more organizations are turning to intelligent chatbots or large language models (LLMs) to boost service quality…

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OpenAI stops 'disrespectful' Martin Luther King Jr deepfakes

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OpenAI stops 'disrespectful' Martin Luther King Jr deepfakes

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OpenAI has temporarily stoppedits artificial intelligence (AI) app Sora creating deepfake videos portraying Dr Martin Luther King Jr, following a request from his estate.

It said "disrespectful" content had been generated about the civil rights campaigner.

Sora has become popular in the US for making hyper-realistic AI-generated videos, which has led to people sharing clips of deceased celebrities and historical figures in outlandish and often offensive scenarios.

OpenAI said it would pause images of Dr King "as it strengthens guardrails for historical figures" - but it continues to allow people to make clips of others.

The firm has faced controversy over this stance, as videos featuring notable figures such as President John F. Kennedy, Queen Elizabeth II and Professor Stephen Hawking have been shared widely online.

It led Zelda Williams, the daughter of Robin Williams, to ask people to stop sending her AI-generated videos of her father, the celebrated US actor and comic who died in 2014.

Bernice A. King, the daughter of the late Dr King, later made a similar public plea, writing online: "I concur concerning my father. Please stop."

Among the AI-generated videos depicting the civil rights campaigner were some editing his infamous "I Have a Dream" speech in various ways, with the Washington Post reporting one clip showed him making racist noises.

Meanwhile others shared on the Sora app and across social media showed figures resembling Dr King and fellow civil rights campaigner Malcolm X fighting one another.

Allow X content?

and

AI ethicist and author Olivia Gambelin told the BBC OpenAI limiting further use of Dr King's image was "a good step forward".

But she said the company should have put measures in place from the start - rather than take a "trial and error by firehose" approach to rolling out such technology.

She said the ability to create deepfakes of deceased historical figures did not just speak to a "lack of respect" towards them, but also posed further dangers for people's understanding of real and fake content.

"It plays too closely with trying to rewrite aspects of history," she said.

'Free speech interests'

The rise of deepfakes - videos which have been altered using AI tools or other tech to show someone speaking or behaving in a way they did not - have sparked concerns they could be used to spread disinformation, discrimination or abuse.

OpenAI said on Friday while it believed there were "strong free speech interests in depicting historical figures", they and their families should have control over their likenesses.

"Authorised representatives or estate owners can request that their likeness not be used in Sora cameos," it said.

So-called "cameos" on the platform allow living people to consent to having their face or resemblance used in further AI videos on Sora.

OpenAI told the BBC in a statement in early October it had built "multiple layers of protection to prevent misuse".

And it said it was in "direct dialogue with public figures and content owners to gather feedback on what controls they want" with a view to reflecting this in subsequent changes.

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OpenAI temporarily stops AI deepfakes of Martin Luther King Jr

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The firm said "disrespectful" content had been generated about the civil rights campaigner.

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An AI app that “undressed” women shows how deepfakes harm the most vulnerable

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An AI app that “undressed” women shows how deepfakes harm the most vulnerable

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An AI app that “undressed” women shows how deepfakes harm the most vulnerable

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DeepNude has now been taken offline, but it won’t be the last time such technology is used to target vulnerable populations.

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“I found myself spending more time giving feedback to AI than to my students.”

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Black Students Are More Likely to Be Falsely Accused of Using AI to Cheat

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Black Students Are More Likely to Be Falsely Accused of Using AI to Cheat

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Black Students Are More Likely to Be Falsely Accused of Using AI to Cheat

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Report notes why this is a problem that educators need to pay closer attention to.

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Current Affairs - Ronald Purser - AI is Destroying the University and Learning Itself

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Current Affairs - Ronald Purser - AI is Destroying the University and Learning Itself

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AI is Destroying the University and Learning Itself

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Students use AI to write papers, professors use AI to grade them, degrees become meaningless, and tech companies make fortunes. Welcome to the death of higher education.

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An Open Letter to Perplexity AI: Absolutely Don't Do This

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An Open Letter to Perplexity AI: Absolutely Don't Do This

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Stop Blaming AI. Start Preparing Students for Work

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Stop Blaming AI. Start Preparing Students for Work

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Inside Higher Ed | Higher Education News, Events and Jobs

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AI isn't the only reason new graduates can't get a job, but it is changing the job market they're entering. Economic uncertainty and a surplus of college graduates are contributing far more to high unemployment among young degree holders than job-thieving robots.

A recent Federal Reserve analysis showed that the unemployment gap between high school and college graduates has been narrowing since the 2008 recession and now sits at around 2.5 percentage points, down from an average of five percentage points from roughly the 1980s to early 2000s. The National Association of Colleges and Employers' 2026 Job Outlook Survey found that employers expect hiring for the Class of 2026 to remain flat. Next year's job market likely won't improve for college graduates.

But even though huge corporations like Amazon, Target and Klarna say they are laying off tens of thousands of employees because of AI, they do not represent the majority of employers. Like the rest of us, most companies are still figuring out AI. In the NACE survey, nearly 59 percent of employers said they are not planning to or are unsure whether they'll augment entry-level jobs with AI, and just 25 percent said they're currently discussing it.

Meanwhile, in a recent Substack post, economist and CUNY Graduate Center professor Paul Krugman argued it's too soon for AI to have such a drastic impact on unemployment for college-educated workers; instead, he blamed the crummy job market on tariffs, uncertainty in the economy and even DOGE cuts flooding the job market with laid-off, educated federal workers.

These market challenges coincide with intensifying pressure from the federal government and the general public for colleges to show that their degrees are valuable. Just this week, the Department of Education rolled out a new feature in the Free Application for Federal Student Aid alerting students if the institutions they've applied to produce graduates who earn less than people with just high school degrees.

While the state of the economy is out of higher education's control, institutions should heed employer calls for graduates with real-world experience. Career-ready students will be able to adapt to the evolving world of work and see that their degrees are worth the investment. The most promising response is for colleges to embrace experiential learning.

A survey of employers released this week by the American Association of Colleges and Universities showed that college graduates who are proficient in applying knowledge to the real world and who understand teamwork are the most likely to be hired. Students agree: They cited paid internships and building stronger connections with employers as the top things colleges can do to help them get career-ready.

Focusing on work-based learning will achieve two things: get students the real-world experience employers demand and set them up for long-term economic success. The college premium may be eroding, but it persists. And while high school graduates might be getting jobs more quickly than recent college graduates, those with degrees stay employed longer once they do find jobs.

Regional economies will benefit from graduates with real-world experience, too. Students who participate in internships or apprenticeships are more likely to find local jobs after they graduate. Studies even show that underemployed graduates, those working jobs that don't require a college degree, land in roles with higher intrinsic value-think less physical labor, more respectful treatment and better opportunities for skill development.

Some institutions are further along than others. A program at Harvey Mudd College pairs undergraduates early in their degrees with alumni around the country for summer job shadows. Others target career support to individual student groups, such as neurodiverse students and veterans. Virginia recently announced a partnership with Handshake to provide each student at a public institution at least one form of work-based learning in an effort to keep talent in the state. And the Delaware Workforce Development Board gave the University of Delaware's Lerner College of Business and Economics a grant to create a yearlong co-op program with businesses across the state, partly to "keep homegrown talent here in Delaware," the chair of the board said.

The economic forces impacting the job market aren't going away, and neither is AI's transformational influence on how work gets done. The solution for colleges is simple: Students need real-world experience and employers are explicit about wanting to hire graduates who have it. Colleges must start building employer relationships and embedding experiential learning into the curriculum now. The institutions that get it right will be the ones whose graduates never question the value of their degree.

Subscribe to a Newsletter

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Stop Blaming AI. Start Preparing Students for Work

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AI isn't taking jobs, but it is changing them. Colleges should listen to calls for more work-based learning to set students up for success in an unpredictable job market. AI isn't the only reason new graduates can't get a job, but it is changing the job market they're entering.

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Ohio State: AI Teaching Strategies: Transparent Assignment Design

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Ohio State: AI Teaching Strategies: Transparent Assignment Design

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AI Teaching Strategies: Transparent Assignment Design

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The rise of generative artificial intelligence (AI) tools like ChatGPT, Google Bard, and Jasper Chat raises many questions about the ways we teach and the ways students learn. While some of these questions concern how we can use AI to accomplish learning goals and whether or not that is advisable, others relate to how we can facilitate critical analysis of AI itself.

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OLC - The Real Environmental Footprint of Generative AI: What 2025 Data Tell Us

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OLC - The Real Environmental Footprint of Generative AI: What 2025 Data Tell Us

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The Real Environmental Footprint of Generative AI: What 2025 Data Tell Us - Online Learning Consortium

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In the October 2025 OLC Snap Survey, participants raised an increasingly common question: What are the ethical implications of Generative AI (GenAI)'s environmental impact? As both a regular user of these tools and a researcher who cares deeply about sustainability, I wanted to understand what the evidence actually shows.

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2025 K-State AI Symposium: Humans and the Machine

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2025 K-State AI Symposium: Humans and the Machine

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Oct. 14-16, 2025
The K-State AI Symposium is a three-day event featuring a variety of panels, lightning talks and workshops. It offers a way for the K-State and Manhattan communities to expand their knowledge of AI. Participants will learn about recent advances in AI; how AI can be used for educational purposes; AI applications in various disciplines, including agriculture, engineering and the humanities; as well as some of the ethical issues surrounding AI.

This event is free to attend.

Email Dr. Raelynne M. Hale at raehale@k-state.edu for more information or with questions related to the symposium.

Charles Elkan

Charles Elkan is an affiliate professor of computer science at the University of California, San Diego, where for many years he was a full-time senior professor. Currently, he is a venture partner at Fellows Fund and the chief scientist of Poesis AI. Until 2020, he was a managing director and the global head of machine learning at Goldman Sachs, while from 2014 to 2018 he was the first Amazon Fellow, leading scientists and engineers in Seattle, Palo Alto and New York doing research and development in machine learning for both e-commerce and cloud computing. He earned his Ph.D. at Cornell University and his undergraduate degree at Cambridge University. His students have gone on to professorships at universities that include Columbia and Carnegie Mellon, and to central roles in industry, including as vice president for post-training at OpenAI and as president of Android at Google.
View Elkan's LinkedIn page.
Soumik Sarkar

Soumik Sarkar is the director of the Translational AI Center at Iowa State University and the associate director of the NSF/USDA-NIFA AI Institute for Resilient Agriculture (AIIRA). He is a professor of mechanical engineering and computer science, and his research focuses on developing AI and machine learning algorithms for cyber-physical systems with applications to manufacturing, transportation and agriculture. He co‐authored more than 310 peer-reviewed publications and is a recipient of several prestigious honors, including the NSF CAREER Award, the AFOSR Young Investigator Program (YIP) Award and the Presidential Early Career Award for Scientists and Engineers (PECASE).
Learn more about Sarkar's work.
Rocki Wentzel

Rocki Wentzel is a professor of classics at Augustana University in Sioux Falls, South Dakota. In the past few years, her work has focused on resonances of Greco-Roman myths in narratives about technology, particularly in film. Her recent publications include a chapter on technological heroes in "Artificial Intelligence in Greek and Roman Epic" (Bloomsbury, 2024), an essay on robots and cyborgs in antiquity for Oxford Classical Dictionary (2023) and an article on Spike Jonze's 2013 film "Her" in New Voices in Classical Reception Studies (2020). She also teaches freshman seminars and honors courses that explore narratives of technology.
View Wentzel's university bio.
View Karlan's webpage.
Brett Karlan

Brett Karlan is an assistant professor of philosophy at Purdue University. He received his Ph.D. from Princeton University and was a postdoctoral fellow at the University of Pittsburgh and at Stanford University. He works on questions in the philosophy of cognitive science (especially psychology and artificial intelligence research) and in normative philosophy (especially epistemology and ethics). His work has been published in Philosophy & Phenomenological Research; the Australasian Journal of Philosophy; Synthese; Ratio; the Journal of Experimental and Theoretical Artificial Intelligence; and Ethics and Information Technology, among other venues. He is a co-primary investigator with Colin Allen on an active Templeton World Charity Foundation grant investigating group rationality, especially in human-AI systems.

Registration is free but required for in-person, online and blended attendance. Please use the link below to register for the symposium:

Register to attend

In-Person Attendance
If you intend to attend the conference fully in-person, please indicate that on the registration form. Once you have registered, you may attend the event in-person by following the schedule below and arriving at the location indicated for the session. Coffee breaks and snacks are provided throughout the day for in-person attendees. There will also be a few giveaways throughout the symposium! Please note that two sessions are presented only through Zoom. Viewing rooms have been designated for those who wish to watch those sessions from Hale Library.

Online Attendance
If you intend to attend the conference fully online, please indicate that on the registration form. Once you have registered, you may attend the event via Zoom. To attend via Zoom, register for the symposium and use the Zoom links provided after registration. One special session is presented by the Teaching and Learning Center (TLC) and has a separate Zoom link, which is provided in the schedule below. Online attendees will be able to ask questions to the panelists at the end of each session. Please note that there are four sessions that are only offered in person; they are indicated in the schedule below. All other sessions are offered via Zoom and in-person.

Blended Attendance
If you intend to attend the conference both in person and online, please indicate that on the registration form. In-person attendance keeps discussions lively and motivates our speakers! However, we understand that your schedule may limit your in-person attendance and that you may want to attend some sessions in person and others via Zoom. For this reason, we offer blended attendance. Indicating your preference and intention for in-person or online attendance for each session helps us ensure space for online and/or in-person attendees.

Special in-person workshop
If you are interested in the "Your Career Startup in the Age of AI: A K-State AI Summit Workshop by Skill X & Skill Guru," a 90-minute in-person workshop, please register separately for that session.Register for the in-person workshop.

8:45-9 a.m., Hale Library, Room 581 (in person and streamed on Zoom)
Opening Remarks by President Linton

9-10:30 a.m., Hale Library, Room 581 (in person and streamed on Zoom)
Opening Keynote: Large Language Models and Human Cognition
Speaker: Dr. Charles Elkan, Venture Partner (Fellows Fund)
Session type: Opening Keynote
Description: Large language models (LLMs) have remarkable capabilities, but they make mistakes that seem surprisingly elementary. For example, one of today's best LLMs says, "A word like delicious but with one letter different is vicious." Other state-of-the-art LLMs make similar mistakes. I will argue that LLM failures are understandable given the fundamental techniques on which LLMs are built, namely tokenization, transformers, pretraining and alignment. I will then discuss how the failure modes of LLMs are similar to known failure modes of human thought, and how each of the four central techniques has an analog in human cognition and learning. Moving on to multimodal models and the latest agentic and reasoning models, I will explain how similar analysis applies to them also. The discussion will lead to three conclusions: human cognition is based on processing similar to that done by LLMs; human-level artificial intelligence is hence in reach; but superintelligence, for common meanings of that word, is not on the horizon.

10:45 a.m.-Noon, Hale Library, Room 581 (in person and streamed on Zoom)
AI Innovations in Agriculture and Food Science
Moderated by: Nick Chong - Venture Partner, Fellows Fund

Panelists: Dr. Fengmin Gong, CEO, founder, Metafoodx; Gabe Sibley, CEO, founder, Verdant Robotics; Klaus Mager, CEO, Food with Thought; Brian Moore, CEO, Voxel 51

Session type: Panel
Description: Agriculture and food science are rapidly evolving, with AI, precision farming, sustainable practices, and new food technologies transforming how we grow and consume. This panel highlights industry breakthroughs from smarter, AI-powered tools that help farmers adapt to climate challenges to innovations that reduce waste and improve nutrition-showing how science and AI are shaping a more resilient and sustainable future for good.

Watch the recording of AI Innovations in Agriculture and Food Science
Passcode: 19$1Whs.

1-2:30 p.m., Hale Library, Room 581 (in person and streamed on Zoom)
Keynote: Role of AI in Cyber-Agricultural Systems
Speaker: Dr. Soumik Sarker, Director of the Translational AI Center at Iowa State University
Session type: Keynote
Description: One of the grand challenges of our generation is to get ready to feed nine billion people by 2050 with sustainable use of water and chemicals. However, our current agricultural system is not prepared for it. We are facing unprecedented challenges in adopting sustainable management practices, increasing production and coping with pest and climate stressors that threaten yield, while running a profitable farm operation. With changing climate, our crops are facing deadly biotic and abiotic stresses and diseases. However, to tackle this, we use chemicals indiscriminately, most of which goes to our rivers and water systems, creating dead zones in the river downstream. The harmful chemical run-off increases due to soil compaction which is a direct consequence of using heavy equipment.

In this talk, I will share our vision for a new cyber-agricultural system that enables ultra-precision technologies to monitor plants or small plots individually and treat them with minimal chemical input. This approach lowers barriers to entry into agriculture, improves safety and reduces runoff and soil compaction. AI and machine learning play a central role in realizing this vision, and I will highlight recent success stories - from ag foundation models for biotic stress monitoring, to agricultural reasoning models, to advances in AI-enabled agricultural robotics.

2:45-4 p.m., Hale Library, Room 581 (in person and streamed on Zoom)
Digital Agriculture and AI
Chaired by: Ajay Sharda, Kansas State University

Panelists: Soumik Sarkar, Iowa State; Yiannis Ampatzidis, University of Florida; Bob Pitzer, Harvest CROO Robotics; Kiju Lee, Texas A&M; Steven J. Thomson, USDA-NIFA
Session type: Panel

4-4:15 p.m., Hale Library, Room 581 (in person and streamed on Zoom)

4:30-5:45 p.m., Hale Library, first floor, *IN-PERSON ONLY*
Student Research in AI Poster Session and Coffee Break (Sponsored by ID3A)
Featuring undergraduate and graduate research in artificial intelligence.

Link to Poster Program

7-8 p.m., Manhattan Public Library, second-floor auditorium *IN-PERSON ONLY*
SPECIAL SESSION: Community Conversation on AI in Our Lives
Panelists: Bruce Glymour (philosophy, Kansas State University), Safia Malallah (computer science, Kansas State University), Rocki Wentzel (classics, Augustana University), Cody J. Wassenberg (IT manager, Manhattan Public Library), Gwen Sibley (scholarly communication and data librarian, Kansas State University), Sanaz Saki Norouzi (Graduate Student in Computer Science)

Description: As part of the symposium, join us at Manhattan Public Library for a lively town hall-style community conversation featuring a panel of technology experts and humanities scholars. The discussion will explore how artificial intelligence is shaping our lives today - from the classroom to the workplace to the arts - and what it might mean for our future. Panelists will share their insights, answer audience questions and engage in an open dialogue about both the opportunities and challenges AI presents. Whether you're curious, cautious or simply want to learn more, this event offers an accessible way to hear from experts, share your perspective and better understand the rapidly changing world of AI.

9-10 a.m., Hale Library, Room 581 (in person and streamed on Zoom) *DUAL SESSION*
Building the Future: K-AIRES and the Next Wave of Immersive Intelligence
A joint presentation by Kansas State University Salina and Pure Imagination Studios

Panelists: Michael Oetken (assistant professor and director of K-AIRES Center, K-State Salina), Troy Harding (Distinguished Professor and department head of integrated studies, K-State Salina) and Joshua Wexler (CEO and co-founder of Pure Imagination Studio)
Session type: Panel
Description: This presentation brings together faculty from Kansas State University Salina and executive leaders from Pure Imagination Studios to share the story behind the formation of the K-AIRES Research Center - a groundbreaking collaboration at the intersection of academia and industry. Presenters will explore how the partnership was developed, the strategic vision guiding the center and the cutting-edge immersive technologies that power its mission. Attendees will gain insight into how artificial intelligence is being integrated into next-generation immersive training simulations, educational platforms and entertainment experiences, positioning K-AIRES as a catalyst for shaping the future of spatial computing and intelligent media design.

9-10 a.m., Hale Library, Room 181 (in person and streamed on Zoom) *DUAL SESSION*
Human-Powered Learning in Digital Spaces
Panelists: Andie Faber (associate professor of modern languages, Kansas State University), Beth Pesnell (teaching assistant professor, College of Education, Kansas State University), Christina van Ittersum (accessibility-focused instructional designer, Center for Academic Innovation, Kansas State University)
Session type: Panel
Description: In this new era of generative AI, many educators across disciplines are finding themselves overwhelmed and wondering how they can assess their students' learning, rather than AI capabilities. In this panel, each panelist will present a tool and/or set of practices that educators can use to promote deep learning as well as judicious, intentional, and appropriate implementation of digital tools. Attendees will come away from this panel with concrete strategies that they can immediately implement in their own teaching contexts, whether they teach online or in person.

Watch the recording of Human-Powered Learning in Digital Spaces

10:15-11:45 a.m., Hale Library, Room 581 (in person and streamed on Zoom) *DUAL SESSION*
Widening Participation in Artificial Intelligence: AI for Good and the Future of Work
Presenters: William H. Hsu (Kansas State University), Andrew Hundt (Carnegie Mellon University), Georgina Curto (Notre Dame University), Jessica Elmore (Council for Advancement and Support of Education), Hau Chan (University of Nebraska-Lincoln)
Session type: Workshop
Description: This workshop aims at discussing near-term, actionable goals for effective education and outreach regarding artificial intelligence (AI) as a ubiquitous and powerful technology - specifically, coping with the high adoption rate and industrialization of AI and its present and incipient impacts. The focus will be a discussion on the future of work and human-beneficial, sustainable uses of AI and what potential the technology holds for human-compatible uses.

Recent surges in automation of physical and intellectual tasks brought by adoption of generative and agentic intelligent systems pose both an opportunity for social and economic change, and risks and harms due to wide-scale use of the technology without commensurate education and preparation for its use. Ideas, questions feedback, challenges, and concerns for discussion and debate are welcome.

The workshop will consist of short, invited talks and a panel on widening participation in AI from a wide range of stakeholders.

10:15-11:45 a.m., *ZOOM ONLY* (Hale Library, Room 108 viewing room for in-person participants) *DUAL SESSION*
Emerging AI Applications: Graduate Student Research from Salina
Moderator: Michael J. Pritchard, assistant professor of machine learning and autonomous systems, K-State Salina

Panelists: Graduate Students from K-State Salina's integrated systems design and dynamics (ISDD) graduate program
Session type: Graduate Student Panel
Description: This session spotlights AI research conducted by graduate students at K-State Salina. Student presenters will share their work on diverse applications of artificial intelligence, including aerospace systems, predictive modeling, defense technologies and human-machine teaming. Each presentation will highlight not only the technical methods used - such as machine learning, natural language processing and simulation-based design - but also the real-world impact of the research. The session is designed to provide an open forum for discussion and collaboration, allowing faculty, industry and fellow researchers to engage with the next generation of AI innovators. By showcasing the breadth of student projects, the session underscores Salina's growing role in applied AI research and its integration with industry and defense partnerships. Audience members will leave with a deeper appreciation for both the creativity and rigor of graduate student work in AI.

Watch the recording of Emerging AI Applications: Graduate Student Research from Salina

Noon-1 p.m., *ZOOM ONLY* (Hale Library, Room 108 viewing room for in-person participants)

Student Motivations to Use AI

SPECIAL LUNCH SESSION: Professional development series presentation sponsored by K-State's Teaching and Learning Center (TLC). No registration is needed for this session. Just click on the link above to join.

Presented by Cydney Alexis and Theresa Merrick Cassidy in partnership with the Teaching and Learning Center

1-2 p.m., Hale Library, Room 581 (in person and streamed on Zoom)
Live Debate: AI and the Workforce
Debaters:
K-State Debate Team, A.Q. Miller School of Media and Communication
Daniel Robertson (undergraduate, computer science, senior member of K-State Debate Team)
Cody Spurlock (undergraduate, communication studies, sophomore member of K-State Debate Team)
Dr. Alex McVey (director of debate, Kansas State University)

Alex McVey, Director of Debate and Professor at the A.Q. Miller School of Media and Communication

Dan Ireton, Academic Services Librarian, Kansas State University

Danielle Hall, University Records Manager, Kansas State University

Joe Mocnik, Professor, Special Assistant for Emerging Technologies and Digital Libraries, Kansas State University

Session type: Live Debate
Description: K-State debaters have been discussing labor policy with their peers across the country. They will showcase their skills in a live public debate on the merits of AI. Debaters will engage in a brief, live debate on the topic: "AI is more beneficial than not for workers." Following the debate, faculty and others will be welcome to question the debaters about their positions and the debate in a cross-examination period following the debate.

2:15-3:45 p.m., Hale Library, Room 581 *IN-PERSON ONLY*
Pre-Registration Required: Register for this in-person workshop.
Your Career Startup in the Age of AI
Presenters: Bryce Huschka, Founder of Skill X, and Skill Guru, AI-Powered Career Accelerator
Session type: Interactive AI x Career Session
Description: "Your Career in the Age of AI" is not just another session - it's a launchpad for students, educators and alumni alike. Guided by K-State's Skill X framework and Skill Guru's AI-powered facilitation, this interactive experience explores how AI is transforming the way we learn, teach and design careers.

Through live demos and hands-on career design sprints, participants will experiment with practical ways to integrate AI into career development, education and lifelong learning. Whether you're a student mapping your first steps, a faculty member reimagining how to teach or research with AI, or an alum navigating a career pivot, this session will push you to move beyond"What job should I get?" and start asking "What future can I build with AI at my side?"

4-5:30 p.m., Hale Library, Room 581 (in person and streamed on Zoom)

Keynote: Human Agency in Narratives of Technology

Speaker: Dr. Rocki Wentzel, Classics Professor at Augustana University
Session type: Keynote
Description: Many of the chief concerns surrounding AI and our humanity - questions of agency, identity and the limits of knowledge - are ones that have occupied us since antiquity and have been at the heart of many narratives since then. By exploring recent films about technological subjects alongside Greco-Roman myths such as Pygmalion, Narcissus, and Orpheus, this talk will consider what our narratives about technology reveal about our values, desires and anxieties and will offer the hopeful perspective that even in the face of rapid technological change, we may not be so quick to surrender our agency as we sometimes fear.

9-10 a.m., Hale Library, Room 581 (in person and streamed on Zoom)
Agency in Education: Students' Perspectives on AI
Moderator: Daniel Robertson (president of ACM SIGAI, undergraduate student, computer science)

Panelists: Student members of K-State's ACM Special Interest Group on Artificial Intelligence (ACM SIGAI)
Session type: Student Panel
Description: A panel of five students will be asked engaging questions about their feelings regarding AI and their role as AI develops. The panel will discuss topics related to AI's use in education, the workforce and daily life. Join us for an important exposé into the pulse of student opinions on AI.

10 a.m.-1:15 p.m., Hale Library, Sunderland Foundation Innovation Lab
Crafting Better Images: How Does Old-school Collage Create Better AI images?
Facilitator: Kim Belanger, Head of Education and Outreach at the Beach Museum
Session type: Drop in hands-on activity
Description: Come by anytime during this session to participate in a hands-on activity! Images of AI have been criticized as being too futuristic, robotic, or misrepresentational of users. This activity station is centered around the idea that humans with lived experiences are behind AI images, not robots. Join the Beach Museum of Art in a hands-on art project where we'll make representational collages old-school style: with scissors, magazines, and glue sticks. Reactivate your imagination as you play and consider how art-making connects us to authentic visual imagery, leading ultimately to better AI images.

10:15-11:15 a.m., Hale Library, Room 581 (in person and streamed on Zoom) *DUAL SESSION*
Redefining Academic Integrity: AI, Cheating, and the Future of Assessment
Panelists: Lotta Larson, professor, curriculum and instruction, Kansas State University, and Tom Vontz, professor, curriculum and instruction, Kansas State University, Drew Bradshaw, EdD student at K-State in Curriculum & Instruction with an emphasis in Educational Technology, Maddie Windsor, MS student at Western Governors in Educational Technology and Instructional Design
Session type: Panel
Description: As generative AI tools like ChatGPT and Claude become widely accessible, higher education faces renewed challenges around academic integrity. While concerns about student cheating are not new, AI introduces innovative, hard-to-detect methods for misrepresentation, such as generating essays, solving problems or rewording sources to evade detection. This session addresses both the "why" and the "how" of AI-enabled academic dishonesty, grounding the conversation in research on student motivation, pressure, and perceptions of fairness.

More importantly, we will shift the focus from policing to designing. How can faculty create assignments that make the most of AI's capabilities without reducing students to passive consumers of machine-generated answers? Through real-world examples and collaborative discussion, this session will explore assignment designs that encourage students to use AI as a tool for ideation, analysis, reflection and creativity rather than substitution. We will also examine the growing use of AI syllabus statements: What messages do these policies send to students, and how effective are they in practice? Are they deterrents, invitations for dialogue or missed opportunities for modeling responsible AI use? Participants will leave with practical strategies for rethinking assessment, promoting academic honesty, and equipping students to navigate AI ethically and productively in academic settings.

10:15-11:15 a.m., Sunderland Foundation Innovation Lab, first floor, Hale Library, *DUAL SESSION* *IN-PERSON ONLY*
SPECIAL SESSION! Tour the Sunderland Foundation Innovation Lab and Experience the Salina Robotics Lab's On-the-Road Robotics
Description: Step into a world of limitless possibilities. The Sunderland Foundation Innovation Lab offers K-State students, staff, faculty and the community the opportunity to unleash their imagination and use the latest innovative technologies. In this tour, explore the AI Studio, Fabspace, Makerspace, Immersion Studio and more! As a special treat, visiting from K-State's Salina Campus, the Salina Robotics Lab will have some of their robotics on display! Come talk to experts about their robotics and the Sunderland Foundation Innovation Lab!

11:30 a.m.-Noon, Hale Library, Room 581 (in person and streamed on Zoom)
The Museum of Art + Light at the Intersection of Visual Art, Creative Practice and Technology
Presenter: Kristy Peterson, VP of learning, engagement and visitor experience, Museum of Art + Light
Session type: Presentation
Description: This presentation will provide a brief introduction to the Museum of Art + Light's mission which is at the intersection of creative practice, contemporary visual art and technology. Learn more about how MoAL works with contemporary digital artists and designs and how the museum presents immersive multi-sensory exhibitions (created in-house by their own team of motion graphics animators). Examples of ways the museum is working with high school students and K-State students and faculty to explore career paths in museums/the arts and other disciplines will also be shared.

1:15-2:15 p.m., Hale Library, Room 581 (in person and streamed on Zoom) *DUAL SESSION*
AI-Driven Systems Design: Bridging Academia, Industry, and Defense
Panelists: Michael J. Pritchard (assistant professor, machine learning and autonomous systems K-State Salina), Austin T. Walden (assistant professor, machine learning and autonomous systems K-State Salina), and Balaji Balasubramaniam (assistant professor, cyber systems design and dynamics, K-State Salina)
Session type: Panel
Description: Artificial intelligence is rapidly transforming the way systems are designed, operated and optimized. This session explores how K-State's integrated systems design and dynamics (ISDD) graduate program leverages AI and systems thinking to address challenges faced by industry, defense and government partners. We will examine how AI is being applied in aerospace, defense logistics and engineering design, while also highlighting the unique role of Salina in shaping interdisciplinary solutions. Participants will gain insights into emerging research directions, educational pathways and industry partnerships that prepare the next generation of professionals for an AI-enabled future. The session will emphasize not just the technology, but also the integration of people, processes and platforms that make AI impactful in real-world contexts.

1:15-2:15 p.m., Hale Library, Room 181 (in person and streamed on Zoom) *DUAL SESSION*
What We Learned: Integrating AI/ML into Engineering Education
Panelists: Anna Iskhakova, research assistant professor, Kansas State University; Helal Uddin, teaching associate professor, Kansas State University; Vaishali Sharda, associate professor, Kansas State University; Husain Aziz, associate professor, Civil Engineering Dept., Kansas State University; and a few K-State students
Session type: Panel
Description: This panel brings together faculty, students and an invited expert to reflect on lessons learned from integrating artificial intelligence (AI) and machine learning (ML) tools into engineering education. Over the past academic year, participants in the College of Engineering's faculty learning community have explored practical strategies, tools and pedagogical approaches for incorporating AI/ML into the classroom. The session aims to share these experiences broadly with the K-State community, encouraging dialogue and collaboration across disciplines. Attendees will leave with actionable ideas for responsibly and effectively incorporating AI/ML into their teaching practice. The panel will also foster connections among educators interested in collaborative innovation.

Watch the recording of What We Learned: Integrating AI/ML into Engineering Education

2:30-3:30 p.m., Hale Library, Room 581 (in person and streamed on Zoom) *DUAL SESSION*
AI Applications for Safeguarding Biological Data and Older Adults' Wallets
Panelists: Shing Chang (Kansas State University), Xiaolong Guo (Kansas State University), Yonghui Li (Kansas State University), and Erin Martinez (Kansas State University)
Session type: Panel
Description: This session consists of research conducted on two NSF-funded projects. The first project aims to safeguard AI in bioinformatics, while the second studies the socio-economic factors of older adults regarding using digital devices and apps with the intent of empowering them to prevent financial fraud. We plan to have three 15-minute talks about each topic followed by 15 minutes of Q&A and discussions.

2:30-3:30 p.m., Hale Library, Room 181 (in person and streamed on Zoom) *DUAL SESSION*
Using AI to Build Practical and Dynamic Instructional Resources Session type: Demo
Presenters: Tom Vontz, professor, curriculum and instruction, Kansas State University; and Lotta Larson, professor, curriculum and instruction, Kansas State University,Drew Bradshaw, EdD student at K-State in Curriculum & Instruction with an emphasis in Educational Technology, Maddie Windsor, MS student at Western Governors in Educational Technology and Instructional Design

Description: AI isn't just transforming assessment it's reshaping how instructors design and deliver content. This 60-minute session focuses on practical, high-impact ways faculty can use generative AI to produce instructional resources that save time, increase accessibility and enhance student engagement. Whether you're preparing for online, hybrid or in-person learning, AI can help create dynamic, multimodal tools that better meet students where they are.
We will explore three common and valuable formats: interactive study guides, AI-enhanced simulations and recorded microlectures. Participants will see live demonstrations of how tools like ChatGPT, Gamma, Pika Labs and others can assist in creating visually rich study aids, short-form video lectures with AI narration and branching scenario simulations for deeper learning. Participants will be introduced to a suite of generative AI tools and walk through real-world examples of faculty-created instructional products. In addition to reviewing key tools and techniques, the session will explore the pedagogical benefits and potential limitations of AI-generated content. Participants will leave with ready-to-use examples, templates and clear next steps for incorporating AI into their course design.

Watch the recording of Using AI to Build Practical and Dynamic Instructional Resources

3:45-4 p.m., Hale Library, Room 581 (in person and streamed on Zoom)
Closing Remarks by Dean of K-State Libraries, James Wiser

4-5:30 p.m., Hale Library, Room 581 (in person and streamed on Zoom)

Keynote: Reflective Equilibrium as a Method of Inquiry in Technology Ethics

Speaker: Dr. Brett Karlan, Purdue University
Session type: Keynote
Description: The method of reflective equilibrium (RE) is primarily taken to be a method of justification for our beliefs, especially our normative beliefs. In virtue of bringing considered judgments into coherence with normative principles, RE claims those judgments and principles thereby both gain some positive epistemic status. Though the justificatory reading of RE is by far the most common, it is not the only possible way to use the method. Revisiting an influential early paper on RE (Daniels, 1979) reveals another possible use: RE as a method of inquiry. I argue that RE represents a plausible norm for intellectual inquiry, especially in normative domains, over and above its role in justifying particular beliefs. In particular, I argue that RE is a deeply important norm for non-ideal inquirers attempting to learn normative truths when they do not have access to true normative first principles. To demonstrate this claim, I consider a case study in detail: debates about the proper role of AI ethics principles in technology ethics (e.g. Hagendorff, 2020; Whittlestone, et al., 2019). The resulting argument is in direct contrast to a standard objection to RE, which claims that RE is far too intellectually demanding for non-ideal agents to use. In contrast, I show in this paper how RE, in conjunction with reasonable norms for evidence gathering, represents one of the few paths forward for moderately rational (but uninformed) non-ideal agents to learn normative truths in technology ethics (and elsewhere).

At-a-glance schedule

Parking is available in the K-State parking garage at 706 N. Martin Luther King Jr. Drive, Manhattan, Kansas . You can learn more and purchase t emporary parking passes by visiting

Registration for this event gives consent for photographs, publicity and inclusion on the participant list unless the symposium organizers are notified in writing prior to the start date. Please email  raehale@k-state.edu for more information.

For participants who need accommodations due to a disability, early notification is requested to ensure appropriate accommodations can be provided. If you have questions or need additional information regarding special assistance or administrative policies, please contact   raehale@k-state.edu.

T-shirt design contest winner and runner ups

This symposium is a partnership between K-State's Department of Modern Languages, K-State's Center for Artificial Intelligence and Data Science, K-State's Department of Computer Science, K-State Libraries, K-State's Department of Philosophy, K-State's College of Arts and Sciences, and the Manhattan Public Library.

Event organizers include Raelynne Hale, assistant professor in the Department of Modern Languages; Alice Anderson, instructional designer II at K-State Libraries; Jason Coleman, academic services librarian at K-State Libraries; Pascal Hitzler, director of the Center for Artificial Intelligence and Data Science; Carol Sevin, academic services librarian at K-State Libraries; and Eugene Vasserman, d irector of the Center for Cybersecurity and Trustworthy Systems.

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Oct. 14-16, 2025 The K-State AI Symposium is a three-day event featuring a variety of panels, lightning talks and workshops. It offers a way for the K-State and Manhattan communities to expand their knowledge of AI.

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Dr. Aviva Legett - AI Is Now Fundable In Higher Ed—But Only With Real Governance

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Dr. Aviva Legett - AI Is Now Fundable In Higher Ed—But Only With Real Governance

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AI Is Now Fundable In Higher Ed—But Only With Real Governance

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AI is fundable and reviewable in higher ed. This article explains the new governance evidence accreditors and DOE require, with real campus case studies.

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Harmonize: Here’s How to Make Your Assessments AI Resilient (while still supporting student learning)

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Harmonize: Here’s How to Make Your Assessments AI Resilient (while still supporting student learning)

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Here’s How to Make Your Assessments AI Resilient (while still supporting student learning)

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These strategies make your assessments more resilient in the face of AI while also supporting best practices for learning.

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Generative AI in Higher Education: Innovation Strategies for Teaching and Learning (2024 book)

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Generative AI in Higher Education: Innovation Strategies for Teaching and Learning (2024 book)

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This book explores the changing role of educators in the light of rapid technological advances in higher education.

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UCSC Legal Research Center - Generative AI Detection Tools

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UCSC Legal Research Center - Generative AI Detection Tools

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Guides: Generative AI Detection Tools: The Problems with AI Detectors: False Positives and False Negatives

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A guide for instructors on the use of generative AI detectors. This guide is not an endorsement of any particular tool. AI detectors are problematic and not recommended as a sole indicator of academic misconduct.

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AI is not the enemy of learning — outdated education standards are

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AI is not the enemy of learning — outdated education standards are

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"Rather than viewing AI as a shortcut, educators should recognize it as a valuable tool to help students engage more deeply with the learning process. And until that changes, students will be left to fend for themselves in an environment that often prioritizes results over the learning journey."

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OPINION: AI is not the enemy of learning — outdated education standards are

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Technology is evolving at an unprecedented rate, but can education keep up with this rapid pace of change? As new tools and innovations emerge, the question becomes whether traditional education systems are equipped to adapt and fully embrace these advancements.

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Dale & Jennifer Harris (RNH) - US District Court of MA Case

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Dale & Jennifer Harris (RNH) - US District Court of MA Case

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From Innovation To Impact: How AI is Reshaping Higher Learning

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From Innovation To Impact: How AI is Reshaping Higher Learning

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https://www.insidehighered.com/sites/default/files/2025-11/Slides%20From%20Innovation%20To%20Impact%20How%20AI%20is%20Reshaping%20Higher%20Learning.pdf

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Video Conferencing, Web Conferencing, Webinars, Screen Sharing

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Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution used around the world in board, conference, huddle, and training rooms, as well as executive offices and classrooms. Founded in 2011, Zoom helps businesses and organizations bring their teams together in a frictionless environment to get more done. Zoom is a publicly traded company headquartered in San Jose, CA.

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Five lessons from a conversation about AI and the future of higher education.

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Five lessons from a conversation about AI and the future of higher education.

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Inside Higher Ed | Higher Education News, Events and Jobs

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Lessons From a Conversation About AI, Future of Higher Ed

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Five lessons from a conversation about AI and the future of higher education.

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U Delaware: Reimagining PedAIgogy Workshop Series

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U Delaware: Reimagining PedAIgogy Workshop Series

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https://urldefense.com/v3/__https://docs.google.com/presentation/d/1XYS_fwG_8Sf_K9Uwj58cFfEAVtnkXmHib5XlC3FND0I/edit?usp=sharing__;!!K1w2cQG9r60!wpJzKCx1OzjMZYYWXwiviGEpruOxUrirdnUROdnaNXEX9scixWWgtlnyXobrjxxX1kZR539mYAAxrh9Lq2beKw$https://urldefense.com/v3/__https://chatgpt.com/g/g-688930a9933081919a2c81aca4e3ac99-ai-privacy-ethics-strategist__;!!K1w2cQG9r60!wpJzKCx1OzjMZYYWXwiviGEpruOxUrirdnUROdnaNXEX9scixWWgtlnyXobrjxxX1kZR539mYAAxrh9UBDYeiQ$

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GenAI Survey for Higher Education Assessment Professionals

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GenAI Survey for Higher Education Assessment Professionals

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GenAI Survey for Higher Education Assessment Professionals

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Course and Assignment (Re-)Design (AI-Infusion Decision Tree)

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Course and Assignment (Re-)Design (AI-Infusion Decision Tree)

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We cannot fully anticipate how GenAI will impact every course or assignment at U-M. We will need to approach GenAI with an experimental mindset, draw on what we know, prioritize high-impact pedagogical strategies, and plan for incremental, sustainable instructional development. High-impact pedagogy includes collaborative learning, interactive learning, higher-order thinking, service- or community-based learning, research, authentic learning and assessment, and writing-intensive courses. Writing-intensive courses present particular benefits, opportunities, threats, and risks.

To begin this process, we recommend that instructors practice using GenAI tools relevant to their disciplines, interests, and pedagogies-before the start of fall term.

In preparation for fall term, instructors should evaluate several aspects of their courses:

What are the course objectives and rationale for them? Can GenAI be used to meet any of the objectives?

Are there new learning objectives in the areas of knowledge, skills, or values about GenAI that students need to meet? Will students have equitable access to GenAI for these objectives?

What tasks do students need to complete to demonstrate they meet the learning objectives?

How will learning be assessed?

Do the objectives, tasks, or assessments present problems with respect to equity, inclusion, diversity, or accessibility? If so, can they be adjusted to ensure fairness and inclusion?

The course design should include some parts that cannot be completed satisfactorily (solely) by GenAI tools, unless GenAI skills and values are the primary learning objectives. GenAI offers us an opportunity to rethink learning objectives as well as assessment methods. Several principles of effective pedagogy should guide us in adjusting courses to GenAI environments:

Larger component of technology-free in-class assignments
Including low-stakes writing, programming logic, etc. may be possible, while recognizing that in-class assignments can create inequities for some students with disabilities and English-language learners, unless appropriate accommodations are offered.

Focus on higher-order thinking
Require students to develop their capacity for creating, evaluating, analyzing, and applying (what they learned to new contexts or problems)

Emphasize the learning process over the product when appropriate
Assign scaffolded tasks developed through several stages (low-stakes writing, outlines, proposals, outlines, drafts, peer review, revision)

Prioritize authentic instruction and assessment
Assign tasks that address real-world problems or simulate real-world tasks; require students to use disciplinary theories and methods in innovative ways; ask students to address complex questions that have no easy or right answer; provide formative feedback that improves students' performance

Require accurate and verifiable citation of sources
Have students include links to the sources they use in a project (GenAI cannot reliably do this)

Add metacognitive exercises to assignments
Assign reflections about how formative feedback is understood and what was revised in response to feedback

Teach academic integrity
In designing assignments, we should explain the purpose of the task to foster motivated learning. The purpose should align with learning objectives in the areas of knowledge, skills and values:

what do students need to learn and why-what the value of the learning is for them now and/or in the future?

What skills will students gain from using AI, what knowledge they will need to apply.

Instructors are encouraged to try completing assignments using GenAI tools before distributing assignments to students. GenAI output can productively be used in class as a prompt for discussion about what technology does well and not so well, as well as the potential social risks and harms implicit in the output (e.g., racial bias, misinformation).

The following decision tree may be used to evaluate assignments in relation to GenAI environments:

IMAGE CREDIT: Frederique Laubepin

Instructors may find it useful to consider the principle of "transparent assignment design" as they review the relationship between course learning objectives and assignments. A transparent assignment template created by Mary-Ann Winkelmes at the University of Illinois offers a concise and concrete example.

Instructors may decide to assess learning with a wider range of assignments than they employed before sophisticated GenAI tools became widely available. The following strategies may prove useful.

Strategies for Engagement and Assessment

In line with best practices for teaching and learning, strategies for engaging and assessing students beyond recall and procedural, superficial understanding are effective pedagogical measures for rising above GenAI tools. Diverse teaching strategies align with diverse approaches to assessment. The following chart offers suggestions for instructors to consider as they redesign courses for GenAI environments.

Active, experiential, and project-based learning sequences similar to those encountered in the discipline

In-class polls, products of peer collaboration, self-assessment

Flipped classrooms to develop interactive learning, peer collaboration, and problem solving skills

In-class polls, products of peer collaboration

Reflections on learning and research processes

Assign a description of research methods, evaluation of sources, explanation of how sources contributed to students' thinking, and discussion of problems encountered and solved in the process.

Evaluate on the basis of completeness.

Live debates, oral presentations, role playing

Evaluation rubric co-created with students before the performances.

Evaluate on the basis of completeness.

Multimodal compositions, such as infographics, podcasts, drawings, websites, videos, alternative text creation for videos and images

Evaluation rubric co-created with students during scaffolded composition process

Authentic group, individual, and self-assessments that require critical and creative thinking

Social annotation of reading

Peer review of annotation quality

Requirements for students to contextualize information, make connections in written work to their lives, current events, and earlier course concepts or lectures, and/or incorporate required readings, videos, images, case studies, or datasets

Evaluate on the basis of completeness and successful integration/synthesis of course materials, concepts, theories, or methods

Poster displays and discussions

Peer review according to a rubric co-created with students during the learning process

Grading standards should be explicit when assignments are distributed and should prioritize higher-order thinking, veracity, critical and creative thinking, and learning processes over mechanical or grammatical correctness. The rationale for these priorities is that developing the human capacity for sentience, creativity, and reasoning aligns with the social value of higher education, while "correctness" (within narrow limits) can increasingly be accomplished by machines.

Integrating AI tools into Course Design

Teaching in an AI-augmented world will demand a reevaluation of the course design and pedagogical approaches. AI can be incorporated into a course in several ways. Examples include providing personalized learning experiences, predictive analytics to identify student progress towards learning goals, and automated grading systems. While integrating AI, it is important to critically examine:

Appropriate use of AI
Ensure that AI is used in a way that supports the learning objectives of the course.

Necessity of AI
While AI can improve various aspects of teaching and learning, it is crucial to discern if its implementation is necessary for a particular task or if a non-technological approach would be equally or more effective.

Pros and Cons of AI
Understand the benefits, such as increased efficiency and personalized learning, against the potential risks and drawbacks such as privacy issues, technology dependency, or reducing human interaction.

Avoiding the Tail Wagging the Dog Scenario
It is essential to ensure that AI serves as a tool to achieve educational objectives and not the other way round where the curriculum is altered to fit the AI tools.

Book Guide - Using Chatbots in Classroom Assignments and Activities
A TTC-created guide that highlights ideas for using chatbots in classroom assignments and activities. The guide is based on the ChatGPT Assignments to Use in Your Classroom Today book from the University of Central Florida.

Skills and Competencies for an AI-Augmented World

The future workforce will necessitate a unique blend of skills and competencies to thrive in an AI-driven environment. Accordingly, regardless of the field of study students should be exposed to the following aspects of GenAI:

Digital Literacy
Students should understand how AI systems work and appreciate the intricacies of machine learning, data analysis, and algorithm design.

Ethical Understanding
As AI systems become more complex, issues around privacy, bias, and ethics will be prominent. Students need to be aware of these ethical considerations and equipped with the skills to make informed decisions based on their values.

Critical Thinking and Problem Solving
While AI can automate many tasks, the ability to think critically and solve complex problems is something that cannot be replicated in the near future by machines. The cognitive dimension of learning is more important than ever, given the necessity of evaluating, fact-checking, and verifying AI output, as well as protecting against and mitigating the risks and harms of AI. These will remain key skills in the near-future workforce.

Adaptability and Lifelong Learning
AI is a rapidly evolving field. Therefore, the ability to adapt to new technologies and a commitment to lifelong learning will be crucial.

In conclusion, while AI can greatly augment the teaching and learning process, it is critical to maintain the delicate balance between leveraging technology and nurturing the unique human skills that AI cannot replicate. Doing so can prepare our students for an AI-augmented world without compromising on the essence and social value of education.

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We cannot fully anticipate how GenAI will impact every course or assignment at U-M. We will need to approach GenAI with an experimental mindset, draw on what we know, prioritize high-impact pedagogical strategies, and plan for incremental, sustainable instructional development.

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Book Guide - Using GenAI in Classroom Assignments and Activities

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Book Guide - Using GenAI in Classroom Assignments and Activities

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Book Guide - Using GenAI in Classroom Assignments and Activities (U-M TTC)

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FL-IDN: How AI is Revolutionizing Accessibility + A 3-Step Process for Integrating A.I. in Teaching

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FL-IDN: How AI is Revolutionizing Accessibility + A 3-Step Process for Integrating A.I. in Teaching

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Presentation #1: https://drive.google.com/file/d/15gdkwEZHb2qbYCFvmudayEptO17Mcpyk/view?pli=1 Presentation #2: https://drive.google.com/file/d/1nPtJ4ghA04svbyS4p_GsImhNI1NrvvSq/view

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AI in Educational Development (Masland, App State & Palmer, UVA)

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AI in Educational Development (Masland, App State & Palmer, UVA)

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AI in Educational Development - Facilitators Guide

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A VOICE AND A FORCE FOR LIBERAL EDUCATION. AAC&U advances the vitality and democratic purposes of undergraduate liberal education.

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Hatch Webinar - Idea to Done: Practical AI for Impossible Projects

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Hatch Webinar - Idea to Done: Practical AI for Impossible Projects

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q@nmF!7W

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Video Conferencing, Web Conferencing, Webinars, Screen Sharing

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Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution used around the world in board, conference, huddle, and training rooms, as well as executive offices and classrooms. Founded in 2011, Zoom helps businesses and organizations bring their teams together in a frictionless environment to get more done. Zoom is a publicly traded company headquartered in San Jose, CA.

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 Navigating Dyslexia with AI Technologies

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 Navigating Dyslexia with AI Technologies

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Technology Solutions That Drive Education

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ISTELive 24: Navigating Dyslexia with AI Technologies

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Educational technology accommodations support neurodivergent learners, but only when they’re in use. One student shares what teachers need to do.

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AI is a game changer for students with disabilities. Schools are still learning to harness it

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AI is a game changer for students with disabilities. Schools are still learning to harness it

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AI is a game changer for students with disabilities. Schools are still learning to harness it

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Artificial intelligence holds the promise of helping countless other students with a range of visual, speech, language and hearing impairments to execute tasks that come easily to others.

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Zhou et al (2025) - Critical Thinking, Self-Efficacy, Creativity, Engineering Students

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Zhou et al (2025) - Critical Thinking, Self-Efficacy, Creativity, Engineering Students

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Zhou et al (2025) - The chain mediating role of critical thinking and AI self-efficacy in GenAI usage competence and engineering students' creativity

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Resisting, Refusing, Reclaiming, Reimagining: Charting Challenges to Narratives of AI Inevitability

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Resisting, Refusing, Reclaiming, Reimagining: Charting Challenges to Narratives of AI Inevitability

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Resisting, Refusing, Reclaiming, Reimagining: Charting Challenges to Narratives of AI Inevitability

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Increasingly, artificial intelligence (AI) adoption is widely framed as inevitable; a destiny which cannot be avoided. In the context of AI, “inevitability” is often used to argue for the need to adopt AI solutions, or to adapt and prepare for speculative AI developments. With soaring investments into AI technologies and infrastructure, unabating coverage of AI stories in the media, and growing enthusiasm from governments, it is unsurprising that AI is widely perceived as inevitable. However, this perception is shaped by narratives that diminish our agency as humans, as they present technology as advancing independently from human activity and interests. In this paper, we outline instances of individuals and collectives actively defying narratives about the inevitability of AI. We propose a taxonomy of such efforts, which are instances of Resisting, Refusing, Reimagining and/or Reclaiming AI. The taxonomy serves as a conceptual framework for those challenging the power dynamics underpinning AI technologies, and illustrates that there are many ways individuals and collectives can influence how technology is developed and used. The taxonomy is also a call to unity for a collective effort; a plurality of resistances which can define and build a future on terms not dictated by techno-determinist ideologies and agendas.

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NPR - 1 in 5 high schoolers has had a romantic AI relationship, or knows someone who has

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NPR - 1 in 5 high schoolers has had a romantic AI relationship, or knows someone who has

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1 in 5 high schoolers has had a romantic AI relationship, or knows someone who has

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A national survey of students, teachers and parents shines a light on how the AI revolution is playing out in schools – including when it comes to bullying and a community’s trust in schools.

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CHE (2023) - The Myth of the Digital Native_Adobe_ResearchBrief

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California attorney fined $10K for filing appeal with fake legal citations generated by AI

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California attorney fined $10K for filing appeal with fake legal citations generated by AI

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California attorney fined $10K for filing appeal with fake legal citations generated by AI

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A California attorney must pay a $10,000 fine for filing an appeal full of fake quotations generated by artificial intelligence tool ChatGPT.

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Halfway to its 2030 net-zero goal, Apple faces slow and hold-out suppliers, a tariffs scramble, and an AI race that could profoundly impact eco-friendly ambitions.

Here's a simple question: Is the current top iPhone better for the environment than the top iPhone was five years ago?

Let's take the iPhone Pro series. If we're looking at recycled and renewable materials, it's an easy yes. Compare the iPhone 11 Pro, released in September 2019, with the iPhone 16 Pro, released in September 2024, and there has been good progress-from a few smaller components and packaging to now at more than 25 percent of the whole phone. There's work to do, of course, but that's what you'd expect at Apple's halfway point to its 2030 goal of carbon neutrality.

But what the iPhone is made out of is only one part of the picture. Take a look at the carbon emissions for each iPhone's life cycle, including everything from materials to the electricity for manufacturing, transportation and charging, and things get more complicated. The AI race is only compounding the problem.

In 2020, the year Apple set out its net-zero climate goals, per-phone emissions were 82 kilograms CO2E (carbon dioxide equivalent) for the iPhone 12 Pro. After a sharp decrease to 69 kilograms in the iPhone 13 Pro, progress that Apple attributes to its Supplier Clean Energy Program, things start to slow-and then, with the iPhone 15 Pro, stall almost completely.

It's at this point that Apple changed its reporting in a way that makes it harder to understand year-on-year improvements-moving to a comparison versus a 2015 baseline of 92 kilograms instead. So when the iPhone 16 Pro arrived in 2024 with the same level of emissions as the 15 Pro, it was still positioned as having greenhouse gas emissions savings of 30 percent rather showing those savings at a relative standstill, year on year.

So while, yes, the current top iPhone is better for the environment than five years ago (and the figures for some of the base models show even greater improvements), most of that progress was made between 2020 and 2022. As Apple has pushed forward with AI and introduced emissions-heavy technological innovations to support it, the company has been left mostly treading water. All while, in contrast, 2023's Fairphone 5 managed to get its life cycle emissions down to just 42 kilograms. (Fairphone will release the figures for its newer Fairphone 6 in October.)

The wider context here, though, is that the house is on fire. Google's total greenhouse gas emissions increased an astonishing 48 percent between 2019 and 2023-in part due to its energy-guzzling AI data centers-and last year it dropped its carbon neutrality pledge (though it still claims it will be at net-zero emissions by 2030). Elsewhere, Microsoft's total emissions increased by 23 percent from 2020 to 2024, which it attributed to growth in AI and cloud expansion, Amazon's shipping and delivery emissions keep going up, and Samsung is running behind on its more limited net-zero aims.

As the kids say, the bar is in hell. At least Apple hasn't backtracked; Apple's still playing. But as Tim Cook doubles down on Apple's commitment to AI, can Cupertino keep up with its climate goals while pushing forward in its AI ambitions?

Slowing Progress

In a comment to WIRED, Apple didn't exactly acknowledge the challenges it's facing. "As data clearly show, Apple is on track to meet our ambitious goal to be carbon neutral across our entire footprint by 2030," it said.

"We've reduced our global emissions by more than 60 percent since 2015 and worked with our suppliers to bring nearly 18 gigawatts of clean energy online across our supply chain. We're laser-focused on continuing this progress with more collaboration and innovation in the years ahead."

However, at the September 2024 iPhone launch, Apple was pretty quiet about its sustainability progress. There were only a few mentions of the recycled materials used across its hardware and its packaging-a stark contrast to the five-minute chat with Octavia Spencer as Mother Nature that opened 2023's event.

Then, in April 2025, Reuters reported that Apple had chartered a cargo jet with a capacity of 100 tons out of Chennai airport in Tamil Nadu, India. It was the sixth chartered flight on the route since March, designed to beat Trump's tariffs and get an estimated 1.5 million iPhones into the United States, fast.

This might seem like a questionable move for a company striving for carbon neutrality, but Lena Chang, climate and energy program director at Greenpeace East Asia, says things like this are actually the least concerning issue facing Apple's 2030 pledge: "It's ironic to point out [the cargo jets], but transportation emissions are a small part of the supply chain."

Instead, Greenpeace points to other forces it believes are slowing Apple's progress. According to Apple's 2025 Environmental Progress Report, reductions in its total "Scope 3" manufacturing emissions-the indirect greenhouse gas emissions outside of the company's control but created due to its operations-slowed to a 13 percent decrease between September 2023 and September 2024 versus an equivalent 30 percent decrease from 2022 to 2023.

To explain this, Chang and her team are focused on what they see as the gap between Apple's commitments and those of its suppliers in Asia, producing an easily digestible ranking of the recent climate progress and commitments of the five major final assembly suppliers to Apple: Foxconn, Luxshare Precision, Wistron, Compal and Pegatron.

Of them all, only Wistron has commitments that align with Apple's ( 100 percent renewable energy by 2030), but the company hasn't released any data for 2024 as yet. Pegatron is only committed to 50 percent in the same time, with Foxconn and Compal not hoping to make 100 percent until 2040 and 2050 respectively. (WIRED requested comment from all five of these suppliers and received no reply.)

Chang points to the ambition of Apple's two Clean Energy Funds in the region, worth around $400 million, but wants to see stronger accountability from the company regarding its suppliers in mainland China and Taiwan.

"We are talking with some suppliers of Apple, and they actually complain that 'yeah, we see there's money there, but there's just not enough incentive for us to initiate a project,'" Chang explains. "We need suppliers to take more initiative, and we need stronger enforcement from Apple, whether it's monitoring on a year-to-year basis or strengthening its reporting mechanism to really push its suppliers to adopt more renewable energy."

This problem now stretches to India too, alongside Vietnam, as Apple scrambles to shift the assembly of the iPhones bound for the US, due to instability around global tariffs. Foxconn accounts for a large share of the local iPhone assembly in the region, but Tata Electronics, a subsidiary of Tata Group, is growing in importance after several big investments. (WIRED requested comment and sustainability data from Tata Electronics; the company said it cannot accommodate the request.)

"Tata Electronics itself, as a subsidiary, has not said anything yet on climate-anything significant," says Ashish Fernandes, CEO and founder of Climate Risk Horizons, a think tank covering India's energy transition. Tata Group has various climate commitments and was carbon neutral for its energy usage for a period, but Fernandes says it isn't clear how these impact the iPhone assembly operations-a lack of clarity he believes can't continue: "If you want to manufacture for Apple, there's going to be a lot of scrutiny."

It isn't alone. From the 14 suppliers that have manufacturing units for Apple in India, Climate Risk Horizons researcher Simran Kalra says, only three have specified their renewable energy share in India-and it isn't particularly good news.

FIH Mobile's 2024 ESG report showed a renewable energy ratio for its two plants in Tamil Nadu was 35.5 percent (FIH said it is not currently "a direct Apple supplier," but the company has previously worked with Apple), while Flex's was around 27 percent in both 2023 and 2024. As for Pegatron? Its 2022 and 2023 reports showed it used no renewable energy in India at all.

"India is not exactly a country where it's difficult to get renewables going," says Fernandes. "We've got a pretty big domestic renewables industry already. So it should be fairly simple for Apple to insist to its suppliers that they meet the bulk of it from renewables and 100 percent by 'X' date."

The AI Problem

However, it is the conflict between AI and climate goals that can be viewed as the most "vicious cycle," as UK-based analyst Jan Stryjak, who leads Counterpoint Research's work on sustainability, puts it.

"AI is hugely costly when it comes to energy usage and water. So a lot of companies are using AI to make their operations more efficient in order to use more AI, or to support more AI, which in turn requires them to be more energy and operationally efficient. Apple is no different."

At first blush, Apple Intelligence at least looks to be somewhat different. It aims to offer an on-device, privacy focused, perhaps more climate-friendly alternative to the cloud-based AI agents. For user requests that need larger models, Apple points to its creation of Private Cloud Compute, hosted on Apple silicon servers at the company's data centers, which are powered by 100 percent renewable energy.

But can Apple scale this 100 renewable infrastructure while competing in a field where it is lagging behind? According to Data Centre Map, Apple operates 16 of these data centers, with six more sites planned or under construction. For comparison, OpenAI partner and investor Microsoft has 120-plus data centers, Amazon runs 200-plus, and Google runs 66 with at least 30 more planned-the very expansions behind some of the biggest climate progress reversals.

Even as a smaller, more energy-efficient AI agent, Apple Intelligence still has power trade-offs-particularly when it leans on ChatGPT to answer some search questions in Siri, a partnership which Apple said late last year is not part of the Private Cloud Compute plan.

"A year ago, when they were talking about Apple Intelligence, it struck me how they were doing an 'all of the above,' right? They had their own thing but they could fall back onto ChatGPT," says Ben Lee, a professor at the University of Pennsylvania in the department of electrical and systems engineering, who has previously consulted for Meta and Google on sustainability.

"That suggests that they're not quite sure that the smaller models give them what they want on device," he says. "I think they're trying to develop the capability first and foremost and then trying to figure out efficiency later."

The path to developing more advanced AI capabilities hasn't exactly been smooth, with key features painfully delayed and next-gen Siri pushed further and further back-with the upgrade now not expected until spring 2026. Recent Bloomberg reporting suggests that Apple leadership is weighing a move to OpenAI or Anthropic technology to help finally deliver its AI promises for a new version of Siri, with tests of these outside models on Apple's cloud infrastructure. The question is: Will Lisa Jackson, Apple's vice president of environment, policy, and social initiatives, be at that table when these decisions are made?

Even if she is, there is no getting away from the electricity needed to manufacture the advanced semiconductor chips powering on-device Apple Intelligence (like the A18 and A18 Pro chips) and Apple's own AI servers ( reportedly Apple's M4 chips as of this year). "Taiwan doesn't have such a rapid deployment of renewable energy, and South Korea, another place that fabricates a lot of chips, doesn't have a lot of it at all," says Lee.

In March, TSMC-the Taiwan-based semiconductor chipmaker which powers flagship iPhones-put out a 2024 report, including a section on ESG: There was a 19 percent increase in greenhouse gas emissions per product unit versus its target of a 10 percent decrease. There was also a 14 percent increase in water use and, drumroll please, only around 14 percent of its used energy came from renewables.

The TSMC press team, when asked for comment, pointed to TSMC accelerating its renewable energy timeline by 10 years in 2023, a 20-year joint procurement agreement for 20,000 gigawatt-hours of renewable energy, and its partnership with Apple on the Restore Fund for carbon-removal projects.

But Greenpeace's Lena Chang wants to see TSMC investing more into Taiwan's wind, solar, and geothermal energy industries, following Google's lead there. "The majority of TSMC's renewable energy is purchased," she says. "They can take the initiative to invest more. From a passive consumer to a proactive prosumer, that's what we are trying to call out TSMC to do more."

An iPhone Afterlife

Of course one of the trickiest threads to solve in all of this is the incompatibility of building AI-capable chips for iPhones which are used on average for just two and a half years before a customer upgrades to a new device.

"Unlike data centers, which buy hardware and then deploy them for very long lifetimes and get very high utilization, you don't get that in the consumer electronics side," says Lee. "Apple would like us to refresh our hardware every two years or so. So that's the difficulty. You have the Scope 3 emissions numbers [for the supply chain], then very high refresh rates and relatively poor utilization."

He believes that after years of flattening in performance and a commoditization of general-purpose CPUs, we otherwise would have seen a slowing down in overall hardware refresh rates: "I think AI is probably restarting the cadence of refresh."

If we continue to get an iPhone launch annually, if Cupertino continues to pack in advanced Apple silicon into every premium device and upgrade cycles remain at 2.5 years, then attention to the afterlife of iPhones becomes more pressing. Globally, Apple makes up just over half the entire secondary smartphone market and while around one in three owners in the US resell their smartphone, that figure drops to around one in five in Europe.

That's not helped by the fact that the amount Apple currently offers to recover traded-in iPhones is much less than the competition, says Counterpoint's Jan Stryjak. Elsewhere, in some countries, there's simply too many different prices and gradings on offer to make sense for the average phone owner: "This is something the industry needs to rectify, to help with giving those older iPhones that second life."

The Next Five Years

Apple appears not to be blind to the challenges it is facing. In April, Lisa Jackson said this in a press release on Apple's environmental progress: "As we get closer to 2030, the work gets even harder-and we're meeting the challenge with innovation, collaboration, and urgency."

Apple is ]the third biggest company in the world by market cap. As its AI agent strategy becomes clearer, environment charities and sustainability experts see a number of ways that it could strengthen its work toward its 2030 climate goals to counteract new innovation.

Then again, the first and second biggest companies in the world? Nvidia and Microsoft, two of the companies at the forefront of the shift toward AI. "We will keep campaigning on the supply chain decarbonization, especially now there seems to be no stopping in AI technology," says Greenpeace's Lena Chang. "It is really important that we keep the balance between AI and sustainable development."

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Apple's AI Ambitions Leave Big Questions Over Its Climate Goals

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Halfway to its 2030 net-zero goal, Apple faces slow and hold-out suppliers, a tariffs scramble, and an AI race that could profoundly impact eco-friendly ambitions.

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Chapman: AI in the Classroom, Resources/Ideas Prepared by CETL

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Chapman: AI in the Classroom, Resources/Ideas Prepared by CETL

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Artificial Intelligence in the Classroom

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Artificial Intelligence in the Classroom

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AI Skepticism in Higher Education: Cultivating Critical Engagement – Teaching with AI Technology

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Kristi Girdharry’s reflection, “Teaching With AI: A Journey Through Grief,” traces how faculty move from denial and anger to bargaining, depression, and ultimately acceptance as generative AI unsettles long‑held practices and identities in writing and teaching. In moments of low psychological safety and limited digital dexterity, that emotional arc can magnify loss of control and lead educators to overstate AI’s downsides, fearing homogenization, assessment collapse, and value erosion, until structures for dialogue and practice create room for balanced, critical engagement.

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What Is the Environmental Cost of Generative AI?

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What Is the Environmental Cost of Generative AI?

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What Is the Environmental Cost of Generative AI? - Impakter

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Generative AI has a high environmental cost. Here’s how much energy and water AI uses, and what can be done to make it more sustainable.

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University students offload critical thinking, other hard work to AI

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University students offload critical thinking, other hard work to AI

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University students offload critical thinking, other hard work to AI

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Two studies indicate students are using chatbots to undermine what they learn

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Alchemy: Bridging Global Insights and Campus Action

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Alchemy: Bridging Global Insights and Campus Action

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Leveraging Generative AI in Educator Preparation Programs: Preparing Inclusive and Equitable Educators

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Leveraging Generative AI in Educator Preparation Programs: Preparing Inclusive and Equitable Educators

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Leveraging Generative AI in Educator Preparation Programs: Preparing Inclusive and Equitable Educators

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This chapter offers actionable guidance on the ethical use of generative AI (genAI) in Educator Preparation Programs (EPPs). GenAI literacy is critical for both students and educators. Thus this chapter discusses the skills and dispositions needed to effectively and ethically use genAI in the classr…

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Unlocking Educational Potential with Ollama

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Explore the transformative power of Ollama in education technology, paving the way for personalized and engaging learning experiences.

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L.O.V.E.: Ethics of Generative AI in Education

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L.O.V.E.: Ethics of Generative AI in Education

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Not your computer? Use Guest mode to sign in privately. Learn more about using Guest mode

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Making AI Generative for Higher Education

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Making AI Generative for Higher Education

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https://sr.ithaka.org/publications/making-ai-generative-for-higher-education/

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Alchemy AI in Higher Ed YouTube Playlist

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Alchemy AI in Higher Ed YouTube Playlist

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Share your videos with friends, family, and the world

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AI in ED Custom Bots/GPTs Bulletin Board

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AI in ED Custom Bots/GPTs Bulletin Board

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Fit

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AI in ED Custom Bots/GPTs Bulletin Board.pptx

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Share your videos with friends, family, and the world

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Guidance and Policy Tracker AI in Education

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Guidance and Policy Tracker AI in Education

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See the latest guidance and policies on AI in education from states in the U.S. and worldwide.

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AI Literacies and the Advancement of Opened Culture: Global Perspectives and Practices

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AI Literacies and the Advancement of Opened Culture: Global Perspectives and Practices

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Jan 21, 2025

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Angela Gunder, Joshua Herron, Nicole Weber, Colette Chelf, and Sherry Birdwell

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AI Literacies and the Advancement of Opened Culture: Global Perspectives and Practices

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Examining how AI influences open collaboration, the creation of OERs, and the alignment of resources and initiatives to the needs and values of the open community.

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AI Literacies and the Advancement of Opened Culture: Global Perspectives and Practices

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AI Literacies and the Advancement of Opened Culture: Global Perspectives and Practices

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AI Literacies and the Advancement of Opened Culture: Global Perspectives and Practices

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This paper explores the intersection of AI literacies and open educational practices (OEP) in fostering an "opened culture" across learning environments and communities. The authors situate AI literacies as a set of interconnected competencies transcending technology use with a propensity for advancing the goals of open pedagogy

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Redefining Academic Integrity in the Age of AI (K-State AI Symposium)

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Redefining Academic Integrity in the Age of AI (K-State AI Symposium)

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K-State AI Symposium

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HANDOUT: Redefining Academic Integrity in the Age of AI

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AI in the Workplace 2025 (Digital Education Council)

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AI in the Workplace 2025 (Digital Education Council)

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Digital Education Council | AI in the Workplace 2025

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Kindly fill in the form below if you would like to get access and download AI in the Workplace 2025.

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Opened Culture | Register for AI Literacies Unlocked

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EdGenerative helps schools and universities navigate the safe and ethical use of generative AI through policy development, training, and implementation.

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Thinking in an AI-Augmented World | Askwith Education Forum

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Thinking in an AI-Augmented World | Askwith Education Forum

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Thinking in an AI-Augmented World | Askwith Education Forum

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Georgetown Artificial Intelligence (AI) Toolkit

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Georgetown Artificial Intelligence (AI) Toolkit

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Impact of AI assistance on student agency

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Impact of AI assistance on student agency

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Empower Your Faculty with AI Literacy - Alchemy

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Equip faculty, instructional designers, and faculty developers with free, self-paced micro-credentials in AI literacy. Built on the LEAD framework, each asynchronous credential takes 90 minutes or less to complete.

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Anthropic settles with authors in first-of-its-kind AI copyright infringement lawsuit

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Anthropic settles with authors in first-of-its-kind AI copyright infringement lawsuit

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Anthropic settles with authors in first-of-its-kind AI copyright infringement lawsuit

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A U.S. district court is scheduled to consider whether to approve the settlement next week, in a case that marked the first substantive decision on how fair use applies to generative AI systems.

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Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

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Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

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AI in Assessment: Enhancing Integrity, Equity, and Innovation in Digital Learning

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AI in Assessment: Enhancing Integrity, Equity, and Innovation in Digital Learning

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Video Conferencing, Web Conferencing, Webinars, Screen Sharing

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Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution used around the world in board, conference, huddle, and training rooms, as well as executive offices and classrooms. Founded in 2011, Zoom helps businesses and organizations bring their teams together in a frictionless environment to get more done.

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Hong & Shin (2025) - Effects of three levels of AI integration on second language academic writing: Evaluating restricted, guided, and free use of ChatGPT

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Hong & Shin (2025) - Effects of three levels of AI integration on second language academic writing: Evaluating restricted, guided, and free use of ChatGPT

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Eventbrite brings people together through live experiences. Discover events that match your passions, or create your own with online ticketing tools.

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Initial AI Discussion (from UVA teaching hub)

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Initial AI Discussion (from UVA teaching hub)

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Onboarding Activity - Initial AI Discussion 07-14-2025 (1)

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These Students Use AI a Lot — but Not to Cheat

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For some students, the technology can effectively replace collaborative learning with classmates and office hours with professors.

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Leading Through Disruption: Higher Education Executives Assess AI’s Impacts on Teaching and Learning

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Leading Through Disruption: Higher Education Executives Assess AI’s Impacts on Teaching and Learning

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https://dgmg81phhvh63.cloudfront.net/content/user-photos/AACU_AI_Report_2025.pdf