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Annoyed

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The issue is who owns the AI not the AI.

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The issue is who owns the AI not the AI.

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Get students into special collections to interact personally with human artefacts and not only AI summaries (I'm not anti-AI btw, just keen to preserve critical thinking outside AI as well)

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What is an authentic student learning experience in the age of AI?

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What is an authentic student learning experience in the age of AI?

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They're engaged, whatever that looks like for them

They care

They're in community with others, able to reflect and learn themselves but also see others learning and questioning

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Using AI image generators to take archival photos and animate them to engage audiences about historic information.

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This past week I taught a class in which the students needed to find hot topics in their career field. I suggested they use the AI tool of their choice to answer that question and then we took keywords from the AI response and searched our discovery layer for sources. Gen AI was a really good tool for that kind of question.

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An instructor at my institution shows students how to use AI to help with writing research papers so not writing the whole paper but more like how to use it to help generate a thesis or topic sentence (parts of an essay instead of the whole thing). It’s shown as a learning tool rather than a supplement for their own writing.

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I think anything that allows students to understand the limitations of the technology, that it's not magic, that it's built by humans with human biases built in, that overuse impacts critical thinking ability, and that it's fallible and built by capitalism. And whatever we can do to get students to that realization themselves instead of justing telling them all of this.

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I've helped teach business classes who have started incorporating perplexity to help students find information on specific topics such as current marketing trends in different countries, how sales might go, etc.

Additionally the library just did a workshop using genAI for self regulation in academia and setting SMART goals

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Students engage with AI as a source and tool with the same critical approach as traditional sources and tools. Id like to see them view AI as an extension of their creative and academic abilities

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They need to become proficient at it as it isn’t going away. One class I assist the teacher with has them let ChatGPT write a 3 to 5 page paper on the topic and then edit in the classroom. What did it miss and what sources should have it included that it didn’t.

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Discussing usage in general—-just talking about it in some classes is taboo.  It is fun to see students open up with each other and say out loud what they are doing with it and how it helps/fails to help them

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Discussing usage in general—-just talking about it in some classes is taboo.  It is fun to see students open up with each other and say out loud what they are doing with it and how it helps/fails to help them

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I'm hoping to use your syllabus with my student intern this coming fall!

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Critical AI Literacy/Responsible AI course to be integrated into their sequential writing requirements that they can use as a credit towards degree

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Critical AI Literacy/Responsible AI course to be integrated into their sequential writing requirements that they can use as a credit towards degree

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really love https://anatomyof.ai/ -- printed this out as a large poster and had students examine different components. focuses on human labor/enviro impact of AI from start to finish

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Anatomy of an AI System - The Amazon Echo as an anatomical map of human labor, data and planetary resources. By Kate Crawford and Vladan Joler (2018)

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Librarians have to have to test out GenAI tools in the same way students might use them.

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Librarians have to have to test out GenAI tools in the same way students might use them.

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Have students prompt ChatGPT to create reference lists and then have students track down the actual articles (and discover when they do and do not exist)

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Articulating their topics as research questions in a conversational way (prompts as a proxy for scholarly conversation)

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Articulating their topics as research questions in a conversational way (prompts as a proxy for scholarly conversation)

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I've seen a lesson where the students pick a published poem of their choice, and then they use ChatGPT/Bard to generate a similiar poem with like imagery, structure. They then compare the output -- which leads to really interesting discussions around creativity, expression, all the really human pieces in writing.

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Using elicit to help social science students find evidence based policy recommendations

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Using elicit to help social science students find evidence based policy recommendations

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why is padlet so bad????

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Power, Politics, and the Planetary Costs of Artificial Intelligence

by Kate Crawford

Imprint: Yale University Press

336 Pages, 5.50 x 8.50 in, 31 b-w illus.

Paperback

9780300264630

Published: Tuesday, 16 Aug 2022

$18.00

Hardcover

9780300209570

Published: Tuesday, 6 Apr 2021

$28.00

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by Kate Crawford Imprint: Yale University Press 336 Pages, 5.50 x 8.50 in, 31 b-w illus. Paperback 9780300264630 Published: Tuesday, 16 Aug 2022 $18.00 Hardcover 9780300209570 Published: Tuesday, 6 Apr 2021 $28.00

# data[].attributes.attachment_link.readable_text
Power, Politics, and the Planetary Costs of Artificial Intelligence

by Kate Crawford

Imprint: Yale University Press

336 Pages, 5.50 x 8.50 in, 31 b-w illus.

Paperback

9780300264630

Published: Tuesday, 16 Aug 2022

$18.00

Hardcover

9780300209570

Published: Tuesday, 6 Apr 2021

$28.00

# data[].attributes.attachment_link.description
by Kate Crawford Imprint: Yale University Press 336 Pages, 5.50 x 8.50 in, 31 b-w illus. Paperback 9780300264630 Published: Tuesday, 16 Aug 2022 $18.00 Hardcover 9780300209570 Published: Tuesday, 6 Apr 2021 $28.00

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Roko's basilisk

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In the years since the Mars Exploration Rover Spirit and Opportunity first began transmitting images from the surface of Mars, we have become familiar with the harsh, rocky, rusty-red Martian landscape. But those images are much less straightforward than they may seem to a layperson: each one is the result of a complicated set of decisions and processes involving the large team behind the Rovers. With Seeing Like a Rover, Janet Vertesi takes us behind the scenes to reveal the work that goes into creating our knowledge of Mars. Every photograph that the Rovers take, she shows, must be processed, manipulated, and interpreted—and all that comes after team members negotiate with each other about what they should even be taking photographs of in the first place. Vertesi’s account of the inspiringly successful Rover project reveals science in action, a world where digital processing uncovers scientific truths, where images are used to craft consensus, and where team members develop an uncanny intimacy with the sensory apparatus of a robot that is millions of miles away. Ultimately, Vertesi shows, every image taken by the Mars Rovers is not merely a picture of Mars—it’s a portrait of the whole Rover team, as well.

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the hard fork podcast

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Each week, journalists Kevin Roose and Casey Newton explore and make sense of the rapidly changing world of tech.

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Jaron Lanier

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Dr. Lo

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LESLIE ALLISON AND TIFFANY DEREWAL’S “WHERE KNOWLEDGE BEGINS? GENERATIVE SEARCH, INFORMATION LITERACY, AND THE PROBLEM OF FRICTION”

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LESLIE ALLISON AND TIFFANY DEREWAL’S “WHERE KNOWLEDGE BEGINS? GENERATIVE SEARCH, INFORMATION LITERACY, AND THE PROBLEM OF FRICTION”

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SNEAK PREVIEW: LESLIE ALLISON AND TIFFANY DEREWAL’S “WHERE KNOWLEDGE BEGINS? GENERATIVE SEARCH, INFORMATION LITERACY, AND THE PROBLEM OF FRICTION”

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[Critical AI 2.2 is the second half of a two-part special issue, co-edited by Lauren M.E. Goodlad and Matthew Stone, collecting interdisciplinary essays and think pieces on a wide range of topics i…

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https://floeproject.org/projects/ai-in-education/navigating-ai-in-open-and-higher-education/

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Chat GPT is bullshit (Hicks et al., 2024)

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Chat GPT is bullshit (Hicks et al., 2024)

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Ethan Mollick—MIT prof

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Manifesto about AI using I think You Should Leave quotes

https://drive.google.com/file/d/1i7f9b6vN4Hojz5SHwV-IMDKBDuFBnzNE/view

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"The quest to make AI less prejudiced" by Helen Edwards

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Ruja Benjamin's artificial intelligentsia article on the TESCREAL bundle of values underlying AI boosterism, and links to eugenics

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Ruja Benjamin's artificial intelligentsia article on the TESCREAL bundle of values underlying AI boosterism, and links to eugenics

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Watching students use it in the classroom

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Ed Zitron's writing about the companies developing genAI tools

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Ed Zitron's writing about the companies developing genAI tools

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She has written about the physical materials and indigenous labor/land that went into the development of early computer

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Hard Fork podcast!

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AI Slop Is a Brute Force Attack on the Algorithms That Control Reality

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Generative AI spammers are brute forcing the internet, and it is working.

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The Age of AI, Genesis, Mastering AI, and Reprogramming the American Dream

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Firefly

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Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

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On October 14th, 2020, researchers from OpenAI, the Stanford Institute for Human-Centered Artificial Intelligence, and other universities convened to discuss open research questions surrounding GPT-3, the largest publicly-disclosed dense language model at the time. The meeting took place under Chatham House Rules. Discussants came from a variety of research backgrounds including computer science, linguistics, philosophy, political science, communications, cyber policy, and more. Broadly, the discussion centered around two main questions: 1) What are the technical capabilities and limitations of large language models? 2) What are the societal effects of widespread use of large language models? Here, we provide a detailed summary of the discussion organized by the two themes above.

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Ruha Benjamin

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Generative AI conference last summer

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Colleagues

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Dwarkesh

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Using AI for all aspects of life.

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Violet Fox’s zine, “A Librarian Against AI ; or, I Think AI Should Leave”

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Violet Fox’s zine, “A Librarian Against AI ; or, I Think AI Should Leave”

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Claude AI

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ChatGPT and Research Rabbit

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Models all the way down: https://knowingmachines.org/models-all-the-way

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LAION-5B is an open-source foundation dataset. It contains 5.8 billion image and text pairs—a size too large to make sense of. We follow the construction of the dataset to better understand its contents, implications and entanglements.

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Podcast: search engine

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Eric Hudson substack has been great for an educator's POV

John Spencer likewise has been helpful

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Ethan Mollick’s blog and book Cointelligence

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Ethan Mollick’s blog and book Cointelligence

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ChatGPT

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Yikes!

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Misdirected

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Tired

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Exhausted

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Reluctant

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Excited

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Intrigued

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Ready

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Concerned