Manifesto for pedagogical feedback in the age of generative artificial intelligence
New affordances and challenges are reshaping feedback processes in the age of generative AI. In the face of urgent and complex dilemmas for educators, researchers, students, and university leaders, this manifesto is a call to action. It reminds us that learning must prevail as the ultimate feedback goal, and offers ten fluid and non-prescriptive principles that are not technological directives but pedagogical commitments.
Celebrate the bubble burst with this latest collection of snarky TikToks about America's Gen AI disaster, lovingly handcrafted by @HielSeitan
What does responsible AI mean to you?
I don’t believe there is a way to do “responsible AI” in the context of existing technological infrastructure or socio-economic frameworks. From the environmental costs of data centers to the theft of data used to train the models, to the way most tech companies embed themselves into education and military industries there is no deontological or consequential ethical framework that can justify the use of AI as it is practiced today.
Research Spotlight
Every month, we interview a different AI2 member and highlight their research by inviting them to answer the following four questions.
This month we are pleased to highlight the research of
Dr. Zeynep Arsel, Professor of Marketing, John Molson School of Business, Concordia University Research Chair in Consumption, Markets, and Society
Distinguished Visiting Professor of Management, University of Bath