About

My name is Iris S. De Lis. I write AI for Faculty, among several other projects.

For a short while, this site was a running list of AI-in-higher-ed headlines with short summary blurbs attached — useful as a raw feed, perhaps, but not as anything you’d come back to. On reflection, the internet is awash with that kind of regurgitation and repackaging of news and data, too often with ads attached. A pile of links isn’t a point of view, so I decided to reboot AI for Faculty.

I am returning to what I have long understood is needed in this so-called information age: thoughtful sense making in the form of ideas, verification, analysis, synthesis, and interpretation.

AI for Faculty is a place for that slower work: tracking themes and trends across AI and higher ed, and thinking through what they actually mean for how we teach, assess, and think about academic integrity. Most posts are field reports: my read on what’s happening and why it matters. Some are more personal essays. I may eventually add a podcast to the mix. My takes here won’t masquerade as detached objectivity; I’ll own my lens and what informs it, so that the reader has that context.

This project grows, in part, out of the GOAL Framework, which has been the philosophical ground for my work on equitable assessment and human-centered pedagogy more broadly — the commitment to growth, authenticity, and equity that runs through everything I do in higher ed.

I should note, too, that right now, AI for Faculty is one voice: mine. I’d like it to grow into something more like a commons over time, where other educators’ thinking lives alongside mine, but I’d rather be transparent about where it actually stands today than position it as something that is still aspirational.

I hope what you find here resonates and is helpful.