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SoundHound AI | Conversational AI That Speaks For Itself

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Voice AI Agents for restaurants, auto, retail, finance, and more! Powered by SoundHound AI conversational intelligence and agentic solutions.

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How Artificial Intelligence Will Transform Businesses

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How Artificial Intelligence Will Transform Businesses

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How Artificial Intelligence Is Transforming Business - businessnewsdaily.com

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This guide explains how AI is already changing the business landscape and how small businesses might leverage the technology.

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In brief

Generative AI is likely the most significant change to work since the agricultural and industrial revolutions.

Reinventors are breaking out of silos and building trust among their people by actively involving them in redesigning their work and roles.

We're bringing data to the reality we see every day-companies that take a people-centric approach could create $10.3 trillion in economic value.

Work reinvented, workforce reshaped, workers prepared

Gen AI is already showing broad potential to redesign processes across the entire value chain.

The gen AI revolution is different than anything that's come before it. Anyone can use it to automate or augment basic tasks, but gen AI is already showing much broader potential to reinvent processes across the entire value chain. To scale this groundbreaking technology responsibly so that work improves for everyone, leaders need to lead and learn in new ways. This means setting and guiding a vision for how to reinvent work, reshape the workforce and prepare workers for a gen AI world, while building a resilient culture to navigate continuous waves of change.

Gen AI is poised to provide the most significant economic uplift and change to work since the agricultural and industrial revolutions, and will lead to a reinvention of work with more human-centric work processes. Gen AI is democratizing business process redesign, giving everyone-from assembly workers to customer service agents to lab scientists-the power to reshape their own workflows. In fact, our research shows that gen AI offers a trio of opportunities: it can accelerate economic value and drive business growth while also fostering more creative and meaningful work for people.

Gen AI offers a trio of opportunities: it can accelerate economic value and drive business growth while also fostering more creative and meaningful work for people

However, although 95% of workers we surveyed see value in working with gen AI, they don't trust organizations to ensure positive outcomes for everyone. And two-thirds of CxOs we surveyed confess that they are ill-equipped to lead this change. Misaligned perceptions between leaders and workers erode trust. But there's a way to close the trust gap and accelerate gen AI integration: Look at and emulate how leading companies are leveraging gen AI in ways that are better for business and better for people.

Three-quarters of leading companies, which we call Reinventors, are actively involving workers to shape the change and redesign their work and roles. In fact, when it comes to their people, one in four Reinventors are 2x more likely to anticipate productivity gains of 20% or more in the next three years. They understand that gen AI isn't about replacing people with technology but elevating work and enhancing peoples' experiences so they feel Net Better Off at work. This approach offers a clear path to closing the trust gap and getting people comfortable and ready to be working with gen AI. Leaders who lead and learn in new ways, focusing on reinventing work, reshaping the workforce, and preparing workers for future challenges, will unlock gen AI's full potential for the economy, organizations and people.

The gen AI state of play

We're now in the generative age, where machines predict with high accuracy, generate creative content and make suggestions.

These are very early days for gen AI, with most companies still in the planning and experimental stages. But we're already seeing rapid changes in several areas:

Driving reinvention: At 81% of companies, gen AI is seen as one of the main levers for reinvention.

Magnitude of impact: Our modeling shows that 44% of working hours in the US are in scope for automation or augmentation.

Regulatory response: Increasingly, countries and regions recognize the need to urgently establish regulatory frameworks, including robust IP protection and usage agreements, for rapidly evolving AI technology.

CxO sentiment: 86% of CxOs around the globe believe gen AI will be transformative for their company and industry, with 100% anticipating changes to their workforce.

Employee sentiment: 95% of workers see value in working with gen AI, with 82% already having some understanding of the technology.

Given the progress and trends already witnessed, and perhaps even as a result, there are conflicting views about the risks, benefits and tradeoffs involved with using gen AI at scale. We see this as an issue that must be unpacked and understood to realize the full, positive potential of gen AI.

Conflicting views erode trust

Trust is required for people to effectively adopt and embrace gen AI. Our research indicates that this extends beyond (but also includes) trust in the tool itself, meaning that people need to trust that the organization will integrate gen AI in ways that protect and prepare workers. But importantly, our research reveals a trust gap between workers and leaders.

32%

of leaders see talent scarcity, due to skill gaps or unawareness, as a major barrier in utilizing gen AI, and 36% attribute workers' reluctance to embrace gen AI to a lack of technology understanding.

82%

of workers believe they grasp the technology, and 94% are confident they can develop the needed skills.

Understanding and navigating the trust gaps-not merely observing them-is crucial for business and societal leaders working to deploy gen AI responsibly. By proactively resolving these challenges, we don't just acknowledge them; we turn them into opportunities to get ahead in the generative age.

The trifecta of opportunities: economy, business, people

Harnessing the trifecta of opportunities to accelerate economic value, drive business growth and create more meaningful work for people should be the goal. For each opportunity, the incentive only grows when people are the navigators along the path to achieving gen AI's full potential. This age of gen AI will revolutionize work and workflows across the entire value chain, and our research is bringing into clearer view the upside of integrating gen AI responsibly.

Economic upside

Our modeling reveals insights from three economic growth scenarios, each based on the pace of gen AI adoption and innovation. Among them, the global scenario where organizations adopt responsible, people-centric approaches to gen AI at scale stands out, potentially creating an additional $10.3 trillion in economic value by 2038.

Business upside

Most CxOs believe gen AI will ultimately increase their company's market share, with 17% of them predicting that gen AI will increase their market share by 10% or more. Our modeling suggests that companies planning to reinvent work by integrating gen AI more deeply across functions and business processes at scale expect to overtake the revenue growth of even today's leading companies in the next five years. Technology alone will not drive gen AI-enabled growth; prioritizing people alongside data and tech can lead to productivity gains of up to 11%, while sidelining the human factor slashes that gain to a mere 4%.

People upside

Gen AI presents the opportunity to prepare individuals to transition from being focused on one or two areas of expertise (with supporting skills), to mastering multiple interconnected capabilities at once. Such a shift presents an opportunity to create a more agile and adaptive organization through, for example, tailored learning pathways aligned to each worker's needs and aspirations. But this will only be achieved if there is a culture of transparency and trust. Our latest research shows that leaving people Net Better Off is a clear pathway to closing the trust gap and getting people ready and comfortable with gen AI. Net Better Off workers had a 19-percentage point greater incidence of "strongly agree" responses regarding their comfort with the technology-particularly in terms of how they can apply it to their work.

Generative AI GPS: Accelerators to realize gen AI's full potential

Success in this age of gen AI relies heavily on leaders who are willing to learn continuously and deeply (particularly when it comes to the technology), lead with compassion and humility and create the conditions so that their people feel Net Better Off at work. Think of it this way: Enzo Ferrari didn't build incredible cars thanks to reimagined approaches to design and engineering; he was successful because he was a driver. So, for leaders to be effective in the gen AI age, when being tech-enabled and people-powered has never been more important, they too need to drive.

Accelerator 1: Lead and learn in new ways

To be effective and build trust in the gen AI-enabled future, leaders need to show up, lead differently and challenge old mindsets to learn new things. 65% of executives we surveyed admit they lack the technology expertise required for the gen AI-led transformation, so it's important that leaders immerse themselves in the technology, effectively changing how they learn by embedding learning into the flow of work. As leaders learn, they'll be able to scale gen AI more effectively and lead responsibly as they reinvent work and reshape the workforce. This, in turn, helps to earn the trust of workers as they are prepared for a future in which they-and the business-will be better off.

A learning roadmap for leaders in a gen AI-enabled world

Digital fluency (including cloud, data, security)

Generative AI fundamentals (including LLMs, architectures, responsible AI principles)

Ask the right questions

Understand

Status of your digital core and readiness for gen AI

Modular approach to achieving value

How to scale

Industry and adjacent industry gen AI landscape

Partner landscape

Be able to

Create a multi-year plan

Prioritize investments

Leverage tech ecosystem

Understand competitive impact

Avoid missteps by implementing Responsible AI

Understand

Opportunities for business process reinvention

How to use gen AI tools in the flow of work

Be able to

Reshape and reallocate your workforce

Rewire your organization for true cross functional collaboration

Understand

How people learn

Skills at the core of the talent lifecycle

The company's employee value proposition

The art and science of change management

Be able to

Oversee effective reskilling programs and embrace work learn fusion

Build talent strategy informed by gen AI impact

Develop effective change management competencies and tools

Evaluate change impacts to ensure employees are Net Better Off

Accelerator 2: Reinvent work

Rethinking entire workflows provides a clear view of where gen AI can be most impactful, aligning it with business goals for better efficiency and innovation across the enterprise and truly collapsing silos in a lasting, meaningful way. From there, it's possible to re-focus on how the work needs to change to better serve customers, support your people and achieve business outcomes. New talent models will also be needed to foster a culture where people are shaping their work and how it flows through the organization; as processes change, so does the work. Ensuring that skills and adaptability-of both humans and machines-keep pace with changes across the value chain is crucial.

Below: An illustrative example of a consumer goods workflow, reinvented using gen AI

Accelerator 3: Reshape the workforce

Mastering gen AI is not a one-time event-learning must be dynamic. And as use of this technology grows, organizations should further leverage tools and technologies like skill mapping and ontology to facilitate smooth transitions from declining to emerging roles. As work and roles shift, capacity is increased, which frees up time and talent for transitions and/or new role creation that best aligns with strategic customer and business outcomes. This increased capacity is the unlock for the productivity and market share gains CxOs predict will stem from gen AI.

Below: An illustrative example of how work and roles can be reallocated in a gen AI future, freeing additional capacity

Accelerator 4: Prepare workers

As organizations integrate gen AI more deeply, they'll need comprehensive learning initiatives and a strong teach-to-learn culture that presents learning in a three-dimensional way: individual, organizational and the machine itself. After all, humans need to teach the machines (a new skill in and of itself), as both people and the machines need to get better at their jobs over time to maximize the benefits of gen AI. Approaching learning like this involves people at every step so that change is happening with them, not to them. And when individuals are actively listened to, organizations foster agency, transparency and trust. The result will be more engaged, productive people who trust the organization and feel Net Better Off.

Prospects ahead: The best outcomes are ours to shape

Gen AI is changing everything at an unprecedented pace-ChatGPT took a few hours at most to capture the world's attention and was quickly embraced by enterprises and everyday people alike. Countless new developments and use cases with the technology emerge every day. No recent technological innovation has transformed so much, including itself, so quickly.

That's why time is of the essence. As we navigate the journey ahead, it's critical to build trust and transparency, ensuring the full potential of gen AI is felt across the economy, business and people. Ultimately, the best outcomes are within our power to shape.

By leading and learning in new ways, we have the power to lift organizations, people and society, while building the organizational resilience needed to navigate what's next on the horizon.

WRITTEN BY

Ellyn Shook

Chief Leadership & Human Resources Officer

Paul Daugherty

Chief Technology & Innovation Officer

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Work, workforce, workers. Reinvented in the age of generative AI

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Accenture explores the impact of generative AI on the future of work and how a people-centric approach can benefit both people & organizations. Read more.

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Revolutionizing Education: The Impact of Artificial Intelligence

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Revolutionizing Education: The Impact of Artificial Intelligence

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This potent capability of AI plays a critical role beyond creating nuanced educational experiences, extending its benefits to administrative tasks as well. Here's where AI, through thoughtful implementation, shows promise in lightening the often undiscussed burdens on educators.

For a much broader perspective, let's shine the light on how nations are incorporating AI into Education.

Singapore: Under its "Smart Nation" strategy, Singapore aims to be a world leader in AI by 2030. An AI-enabled companion will provide customized feedback and motivation to students, automated grading, and machine learning systems to identify how each student responds to classroom materials and activities. A national initiative to build AI literacy among students and teachers is also being implemented.

South Korea: The country has implemented AI-based systems to adapt homework and assignments based on students' educational levels and learning behaviors. By 2025, South Korea aims to have AI coursework in its national curriculum across all grade levels, starting with high school. It's also investing heavily in teacher development around AI.

India: Ed-tech company Embibe uses AI to clarify complex math and science concepts. Students can use a smartphone to scan a passage from a textbook, and the app uses 3-D imagery to help with visualization. AI is also being used to predict student performance, enabling early intervention.

Finland: The country has made a national commitment to educate its citizens with free online coursework. Roughly half of schools use the ViLLE platform to give students and teachers immediate feedback and analytics on student assignments. Finland's AI in Learning aims to promote equity and quality of learning locally and globally.

China: The government has invested heavily in AI tools, such as the adaptive tutoring platform Squirrel AI. However, ethics, equitable access, privacy, and other concerns are not high priorities in China.

Japan: The country recently released guidelines for AI in education and has selected a number of schools to pilot them as the government weighs which regulations make the most sense.

United States: The country is exploring the potential of generative artificial intelligence in education, but guidelines and regulations are coming late compared to other countries. The Department of Education recently released a policy paper on AI, and there are calls for a comprehensive AI training program for teachers.

AI can automate tedious administrative tasks like grading, record-keeping, and scheduling, giving teachers more valuable time to dedicate to teaching and mentorship. Additionally, AI chatbots can offer students 24/7 support, providing answers and enriching their learning journey.

Undoubtedly, the automation of administrative tasks through AI applications in education provides a streamlined experience for both educators and students alike. Reducing time-consuming tasks like grading and record-keeping not only allows teachers to veer their focus back to the core of their profession - teaching, mentoring, and impacting young minds but also optimizes the structure of education management systems. Gaining additional time to devote towards innovative lesson planning or providing personalized mentorship unveils enrichment opportunities in a student's educational journey. Meanwhile, AI-powered chatbots taking the helm of 24/7 student support allows consistent access to aid and guidance, strengthening the link between learning and understanding.

Moving from this reimagining of roles and responsibilities, there's still one critical aspect to consider. Beyond administrative tasks and student support, the sight for AI's impact on education is set ambitiously higher. As the line between the classroom and digital space blurs, there's an emerging model of education that marries the human touch with a deep understanding of a human-centered approach to the experiences and design practices with the precision of AI at its forefront. As we steered into the dynamic nature of AI-powered learning, it's time now to comprehend how AI could harmonize with educators rather than substitute them, thus creating a hybrid model of education.

The integration of AI into education does not mean that teachers will become obsolete. Instead, AI will complement and enhance their teaching skills. Automation of administrative tasks frees up teachers' time, enabling them to focus on developing their students' critical thinking, creativity, problem-solving, and communication skills. This additional time can also be used to provide mentorship and personalized support to each student's growth.

The hybrid model of education that combines technology and human interaction is another significant advantage of AI in education. It will provide students with personalized learning experiences that cater to their unique needs, abilities, and interests while also providing them with access to human support from their teachers.

This innovative hybrid model illuminates the roles of both AI-based learning tools and educators, serving certainly not as opponents but rather as allies in education. As AI removes the burden of administrative task management, teachers not only regain time but they reclaim their pivotal role: to be mentors guiding students beyond academics, nurturing their capacity to think critically, create with originality, and communicate effectively. The presence of AI enables a unique intertwining where students, supported by technology, still bask in the essential human support from their teachers. Moving forward, by adopting this coexisting setup, we embark on a journey that not only places academic advancement at its core but also espouses an environment of all-round development. Recognizing this fluidity lets us explore further how AI surmounts perhaps the most significant challenge of education: guaranteeing accessibility for all.

AI-enhanced education is helping to make learning more accessible to students who lack access due to location or financial constraints. Language learning apps, for example, can provide quality instruction regardless of one's background, breaking down barriers to education and creating equal opportunities for all.

Like never before, AI, breaking down age-old barriers, stands to turn education into a democratized field. Unbound by socio-economic circumstances and geographic locations, students now have gateways to premium language instruction, enshrining their unfettered right to quality education. However, as we usher in this era of remarkable accessibility through AI, it is natural that some reservations surface questioning the potential replacements for the touch of human interaction in education. Do these powerful, precise AI-learning platforms inadvertently compromise the softer aspects of learning such as the social and emotional development of students? With judicious design and use, the answer leans towards a more synergized horizon, where AI not only amplifies academic prowess but also nourishes the social and emotional fabric of the learners. Let's delve into this crucial debate that underscores the viability of AI adoption in educational settings.

Some people worry that AI in education may decrease human interaction, hindering students' social and emotional development. However, AI can actually enhance human interaction. AI-based learning platforms offer personalized feedback and support; allowing students to collaborate with their teachers and peers. This creates an interactive learning environment that promotes social and emotional growth.

AI presents a revolutionary new opportunity for education, through personalizing learning experiences, automating tedious tasks, promoting a hybrid learning model, removing barriers to education, and promoting social-emotional development. Any potential concerns about AI can be resolved by combining it with human-based interaction and collaboration.

Contradictorily, research studies evidence that the implementation of AI can offer opportunities to enhance social skills. For instance, a study by Stanford University researchers demonstrated that teaching assistants powered by AI encouraged increased student interaction.

As we stride into the future, AI undeniably holds a reigning status, poised to dramatically reshape the educational landscape. The promise of personalized learning experiences, significant administrative efficiency, a seamless bilingual model of instruction, amplified accessibility to quality education, and potential for fostering social and emotional growth underscores AI's immense potential in nurturing increasingly enlightened societies.

Undoubtedly, the worldview echoes a sentiment of caution. Critics argue that a future over-reliant on technology, specifically AI, may compromise on the emotive and social nuances of traditional education, potentially eroding human interaction. But as we evaluate the dawn of this intelligently automated era, we discover that it's not a question of superseding human touch but of smartly meshing technology and human elements seamlessly.

The concern according to a 2020 UNESCO report, lies in molding a scenario where AI supplements the teachers' presence rather than overhauling it completely. When used discriminately, AI's benefits - time-savings, enhanced engagement, and remedying accessibility issues - are enormous. The 2020 UNESCO report on the future of education argues that AI can play a transformative role in the classroom, but that it should not be used to replace teachers. Instead, AI should be used to supplement teachers' presence and help them to be more effective.

The report identifies several ways in which AI can be used to support teachers. For example, AI can be used to:

Provide personalized learning experiences to students based on their individual needs.

Give teachers real-time feedback on their teaching practice.

Automate administrative tasks, freeing up teachers to spend more time with students.

Conversely, teachers lay the foundation of students' all-round development by stimulating their innate curiosity and nourishing a deeper understanding of emotional intelligence.

In May, a UNESCO global survey of over 450 schools and universities found that fewer than 10% have developed institutional policies and/or formal guidance concerning the use of generative AI applications.

The comprehensive utilization of AI, when teamed with the humanistic grace of empathetic and skilled educators, delivers powerful results. AI frees up time, enhances the engagement of learning experiences and bridges accessibility gaps while teachers fan the students' innate curiosity, fostering their problem-solving capabilities, and nurturing a deeper understanding of community and emotional intelligence.

AI should be utilized to augment the educational experience for students, incorporating support tailored to individual learning styles, needs, and goals. It can help nurture students' cognitive, emotional, and social development, ushering in an era of human-tech collaboration. AI is now far more than a disruptive force; it is a versatile and accessible instrument to support the advancement of education.

As we visualize such a future, the essential course of action amid this exciting, albeit challenging, educational revolution is not to resist but to adapt. As a society, it is incumbent upon us to advocate for equal access to this revolution, to ensure it's implemented judiciously, and that teachers are nimbly equipped to harness the power of AI. After all, our ultimate goal remains unchanged - to foster an environment that provides every student the breadth and depth of education they deserve. Unleashing the true potential of AI in education requires us to embrace this vision.

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Revolutionizing Education: The Impact of Artificial Intelligence

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In the wake of a digital dawn, the chalk-and-blackboard era of our past is ebbing away replaced instead with ones and zeros. An evolution is occurring, underpinned by the surge of Artificial...

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With the rapid advance of Artificial Intelligence (AI), higher education institutions must engage in thoughtful discussion about AI's impact on teaching, learning, curriculum, research, careers, and the broader societal implications. We have developed this page of resources, organized by themes, to keep our faculty and staff informed about AI. Because AI tools and news about AI are rapidly evolving, this site will be reviewed and updated regularly. (last reviewed 2/2/24)
NOTE: The curated list of resources is for information only and does not reflect CMU's stance on or preference for AI tools.

Understanding generative AI

Article: Collaborating with artificial intelligence? Use your metacognitive skills (resource added 11/10/23)

Article: Generative AI exists because of the transformer: This is How it Works (resource added 11/10/23)

Video: ChatGPT Doesn't Know Anything (2:57) (resource added 10/4/23)

Video: Practical AI for Instructors and Students Part 1: Introduction (10:16) (resource added 8/25/23)

Blog: ChatGPT is a smart, drunk intern: 3 examples (resource added 8/25/23)

AI in teaching

Article: ChatGPT Has Changed Teaching. Our Readers Tell Us How (resource added 12/15/23)

Article with video: Helpful or Harmful? How AI Shaped Education In 2023 (resource added 12/15/23)

Graphic: Bloom's Taxonomy Revisited (resource added 12/1/23)

Video: Machine Learning, AI, and the Future of Education|Marc Natanagara |TEDxBrookdaleCommunityCollege (10:09) (resource added 11/10/23)

Article: Can large language models provide useful feedback on research papers? A large-scale empirical analysis (resource added 11/10/23)

Newsletter: Critical Reflections on AI from Faculty (resource added 11/10/23)

Report: Artificial Intelligence and the Future of Teaching and Learning Insights and Recommendation (resource added 10/4/23)

Interactive tool: Generative AI Syllabus Statement Tool (Seaver College) (resource added 10/4/23)

Article: Incorporating AI in Teaching: Practical Examples for Busy Instructors (resource added 10/4/23)

The Sentient Syllabus Project (resource added 8/25/23)

Article: 4 Steps to Help You Plan for ChatGPT in Your Classroom (resource added 8/25/23)

Article: Are Your Students Ready for AI? A Four-Step Framework to Prepare Learners for a ChatGPT World (resource added 8/25/23)

Article: Assigning AI: Seven Approaches for Students, with Prompts (resource added 8/25/23)

101 Creative Ideas to Use AI in Education (resource updated 10/04/23)

AI and assessing student learning

Example: Sean Nufer "Engaging Advertisement" Assignment (resource added 12/1/23)

Guide: Promoting Authenticity of Student Work in the Age of Artificial Intelligence: A Faculty Guide from the Center for Teaching and Learning Enhancement at Lamar University (resource added 10/4/23)

Graphic: 6 Strategies for AI Integration in Classroom Assessment (resource added 10/4/23)

Article: Prompt engineering for students - making generative AI work for you (resource added 8/25/23)

Article: What to do about assessments if we can't out-design or out-run AI? (resource added 8/25/23)

Article: Prompt engineering for educators - making generative AI work for you (resource added 8/25/23)

Incorporating AI in Learning Assessments Guided Pathways (resource added 8/25/23)

Writing in an age of AI

Tool: Template Phrases for Critiquing AI Outputs (resource added 11/10/23)

Podcast: Teaching in Higher Ed: Teaching Writing in the Age of AI (37:03) (resource added 8/25/23)

Academic integrity and detection

Paper: Academic Integrity and Assignment Design - MLA-CCCC Joint Task Force on Writing and AI (hcommons.org) (resource added 10/4/23)

Article: We tested a new ChatGPT-detector for teachers. It flagged an innocent student. (resource added 8/25/23)

Article: Why AI detectors think the US Constitution was written by AI | Ars Technica (resource added 8/25/23)

Article: GPT Detectors are Biased Against Non-Native English Writers (resource added 8/25/23)

Conversation Transcript from The Chronicle of Higher Education: Nobody Wins in an Academic-Integrity Arms Race (resource added 8/25/23)

Article: Means. Motive, Opportunity: A Composite Narrative about Academic Misconduct (resource added 8/25/23)

AI ethics and equity

Article: Ethical concerns mount as AI takes bigger decision-making role in more industries (Four Part Series) (resource added 12/15/23)

Blog: Accessibility of AI Interfaces (resource added 10/4/23)

Paper: The Affordances and Contradictions of AI-Generated Text for Second Language Writers (resource added 10/4/23)

CMU Podcast: What are the Ethical Concerns with AI? (19:27) (resource added 8/25/23)

Opinion: So what if ChatGPT wrote it? (resource added 8/25/23)

Article: Managing the Risks of Generative AI (resource added 8/25/23)

Article: AI Brings Opportunities And Risks To Workplace DEI Efforts (resource added 8/25/23)

Article: Humans Are Biased. Generative AI Is Even Worse (resource added 8/25/23)

Blog: Teaching AI Ethics (resource added 8/25/23)

Article: Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models (resource added 8/25/23)

Op-Ed: The mounting human and environmental costs of generative AI (resource added 8/25/23)

Article: Student Use Cases for AI (resource added 12/1/23)

Podcast: The Higher EdTech Podcast: A Look at AI Tools in Fall 23 Part 1 and Part 2 (resource added 11/10/23)

Repository: Microsoft Prompts for Education: Enhancing Productivity & Learning (resource added 10/4/23)

Futurepedia: AI Tool Directory Updated Daily (resource added 8/25/23)

Chat GPT Prompting Cheat Sheet (resource added 8/25/23)

Advanced Guide to ChatGPT (notion.site) (resource added 8/25/23)

Other resources

Article: Universities must transform to ensure no one is left behind in the era of AI (resource added 1/15/24)

Article: Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality (resource added 11/10/23)

Article: Centaurs and Cyborgs on the Jagged Frontier: I think we have an answer on whether AIs will reshape work (resource added 10/4/23)

How to Cite AI (APA) (resource added 8/25/23)

How to Cite AI (MLA) (resource added 8/25/23)

Adapting Coursework for the AI Age: A Comprehensive Self-Paced Course

In the evolving landscape of higher education, artificial intelligence offers transformative possibilities that require us to approach this new technology with enthusiasm and discernment. The self-paced workshop, "Adapting Coursework for the AI Age," will answer questions such as: What are the potential benefits of generative AI? What concerns should educators be aware of? How can we ensure AI is used ethically and effectively? How can we leverage existing pedagogy to maximize student success?

The three interactive modules of this workshop will cover the benefits and concerns of AI in the classroom, provide ethical assessment strategies, and share practical strategies to incorporate AI into your course. To enroll in this workshop, email tlpro@cmich.edu for access. (resource added 11/10/23)

Artificial Intelligence 101: Self-Paced Workshop

Designed with higher education faculty in mind, this self-paced workshop introduces the fundamental concepts of Artificial Intelligence (AI), making it a straightforward yet enriching journey into the world of modern technology.

The three interactive modules of this self-paced workshop will prepare users for further conversation and exploration of AI by simplifying terminology, getting acquainted with popular tools through hands-on activities, exploring common characteristics of generative AI, and providing a glimpse into the current trends and developments. Participants will reflect on how to successfully utilize AI by fostering an environment where they can visualize the potential implications and benefits of AI integration in higher education. To enroll in this workshop, email tlpro@cmich.edu for access. (resource added 9/22/23)

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Artificial Intelligence (AI) Resources | Central Michigan University

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A page of resources, organized by themes, to keep our faculty and staff informed about Artificial Intelligence (AI).

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Does the impact that AI is having in Business worry you?

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Do you feel confident that you can apply some of these strategies in your course?

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Poll: Effective integration of AI in the curriculum.

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Poll: Effective integration of AI in the curriculum.

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Is Higher Ed integrating AI into the curriculum effectively?

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Amazing research for research and analyzing analytics! Grad students have been using to assist in preparing IMC projects for clients - quick although must double check results

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Thinking in a more interdisciplinary way - Andrea

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Thinking in a more interdisciplinary way - Andrea

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I believe that AI is going to challenge us to think about business in a more integrated and interdisciplinary way as opposed to just the sub-disciplines like accounting, marketing, etc. This has the potential to impact the ways in which we structure learning and credentials.

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I think AI is still evolving but we are beginning to see the possibilities. I was blown away by what SoundHound is doing to handle customers orders in a very humanistic way. I can see many businesses adopting AI . The issue I see her is how do we place those who will lose their jobs to AI.

Jose Diaz

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Data collection/analysis -- Predicting consumer outcomes and trends at a quicker pace.

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AIs role is evolving and can help with automation, data analysis, personalization, predictive analytics, process optmization, customer service and market intelligence. I agree with all of these which were found via AI!

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"AI is the future" we keep saying, yes? So important that our students understand how to use these tools - both strengths and weaknesses

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AI has transformed the Business in a different direction. Lots of automation have been added due to AI.

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it's evolving ...but I don't think people really understand it. I do think we need to see how we can use AI as we may not be able to fight it .... but learn how to embrace it

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I have yet to see it in business other than what students and instructors have done.

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Have been utilizing AI tools for a year and am astounded at the ease with which students have accommodated these into their work. Clear guidelines submitted before classes start on syllabus that they must NOT pick and paste, but rather adopt what they receive - they've done so as far as I am able to determine

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Potential for behavior change as users become more widely educated; potential for damage if misinformation is proliferated

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I have not personally experienced AI being used.

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I haven't seen strategies, but I would like to find them out!

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A very positive that can bring more accurate demand forecasting, inventory management, and performance management etc.

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I have not seen strategies used in the field but as someone else metioned, I would love to find out.

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Still Learning Impacts of AI in Academic Use

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Still Learning Impacts of AI in Academic Use

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It is all so new that we don't yet know the full impacts however, it clearly reduces a great deal of time for both the academic and the student in terms of research and organization - all with the caveat that everything needs to be double checked, yes? AI doesn't understand truth from fiction yet...we have to be the judge of that

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Effective use, especially in the field of logistics.

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Effective use, especially in the field of logistics.

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I think the role AI and Gen AI plays in Business is similar to law and other professions/disciplines.

AI /Gen AI is a tool – a powerful one, but like with any technology tool we need to understand its limitations as well as its benefits.

AI can perform routine and repetitive tasks well – like an assistant.

However, the output produced by Generative AI needs to always be reviewed and checked by humans. It needs to be verified. (ie: hallucinations)

Also, those who are interacting with AI/Gen AI need to be aware that they are interacting with this technology.