AI

The University of Kentucky has taken a transdisciplinary approach to developing guidelines and recommendations around generative AI, incorporating input from stakeholders across all areas of the institution. Here, the director of UK's Center for the Enhancement of Learning and Teaching breaks down the structure and thinking behind that process.

It is worthwhile spending some time on social media to see the relentless bombardment faced by students from influencers peddling AI tools that straddle the line between aiding study and blatantly enabling cheating. These influencers flourish is contradictions and promise the moon: complete your homework in five minutes flat, forget about ever attending another lecture, let AI take up the pen for you. In each pitch, the essence of learning is overshadowed by a pervasive call to save time. Welcome to the dizzying world of AI influencer culture, where the pursuit of profit drives companies to use influencers as direct conduits to push their products onto students.

Moving from reaction to action, higher education stakeholders are currently exploring the opportunities afforded by AI for teaching, learning, and wor

While job titles and descriptions have not changed, more faculty are being given AI-focused tasks, according to a new Educause survey.

The latest wave of AI tools like ChatGPT seem certain to disrupt the workplace in the years ahead — and the most-disrupted professions may be ones that ...

ListenDurable skills are not only a real thing but a civilizational shift. AI is not the cause. It's an accelerant and a wake-up call. Particularly when working with AI, I argue that teaching skills are durable skills.

null

The first generative AI design tool that lets users create and edit digital illustrations, vector art, icons, and 3D graphics in a uniform brand style.

This study explores how discussing metaphors for AI can help build awareness of the frames that shape our understanding of AI systems, particularly large language models (LLMs) like ChatGPT. Given the pressing need to teach “critical AI literacy”, discussion of metaphor provides an opportunity for inquiry and dialogue with space for nuance, playfulness, and critique. Using a collaborative autoethnographic methodology, we analyzed metaphors from a range of sources, and reflected on them individually according to seven questions, then met and discussed our interpretations. We then analyzed how our reflections contributed to the three kinds of literacies delineated in Selber’s multiliteracies framework: functional, critical and rhetorical. These allowed us to analyze questions of ethics, equity, and accessibility in relation to AI. We explored each metaphor along the dimension of whether or not it was promoting anthropomorphizing, and to what extent such metaphors imply that AI is sentient. Our findings highlight the role of metaphor reflection in fostering a nuanced understanding of AI, suggesting that our collaborative autoethnographic approach as well as the heuristic model of plotting AI metaphors on dimensions of anthropomorphism and multiliteracies, might be useful for educators and researchers in the pursuit of advancing critical AI literacy.

With the rapid developments in artificial intelligence, higher education is entering a second phase of digital transformation: Dx 2.0. Technology and

AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical experts to use the right tool for the right job. Then each solution today becomes a foundation to build further innovations tomorrow. But without the right questions, you’ll be starting your journey in the wrong place.

During Spring 2024, Learning Innovation will offer workshops that focus on practical ways to engage with generative AI in your everyday work as a staff or faculty member. All workshops ...

Space-Time Text-to-Video diffusion model by Google Research.

This flowchart is designed to assist instructors in thinking through the implications of choices they may be making about the use of generative AI tools in their courses. It offers a step-by-step approach to guide instructors through key decision-making points that may help them weigh various options for themselves and their students, raises questions related to the choices being considered, and provide links to resources to support them in making thoughtful and informed choices.

FlexOS.work surveyed Generative AI platforms to reveal which get used most. While ChatGPT reigns supreme, countless AI platforms are used by millions.

Get ready to see the power of AI in action! This video showcases 5 amazing AI tools that will revolutionize the way you work, create, and communicate. From v...

Or, a critical AI literacy argument against AI text detectors.

A: Because generative AI is a literacy technology.

People tend to overestimate their ability to spot digital fakes, researchers found.

A conversation with UC Berkeley School of Public Health Professor Jodi Halpern about AI ethics, empathy, and mental health.

Automated syntax generation is not teaching.