Editorial | Penn has an AI problem

Opinion | AI Is the Future. Higher Ed Should Shape It.

archived 4 Nov 2025 19:40:44 UTC

3: Consulting the Record: AI Consistently Fails the Public - AI Now Institute

Amid the excitement over AI’s (speculative, hypothetical) potential, we have lost sight of the sobering reality of its present and recent past. AI is already intermediating critical social infrastructures, materially reshaping our institutions in ways that ratchet up inequality and concentrate power in the hands of the already powerful. It is consistently deployed in ways […]

How AI Destroys Institutions

Civic institutions—like the rule of law, higher education, and a free press—are the backbone of democratic life. They are the mechanisms through which complex s

The AI Discourse in Academia is Toxic. It Doesn’t have to be.

You are allowed to have a nuanced opinion about AI

Terence Tao: AI companies are harming mathematics | New Scientist

archived 9 Sep 2026 16:47:49 UTC

AI Is Hollowing Out Higher Education

Olivia Guest & Iris van Rooij urge teachers and scholars to reject tools that commodify learning, deskill students, and promote illiteracy.

AI Is Quietly Changing Who Gets to Build Software

What If Universities No Longer Need Edtech Companies?

70 years of AI hype

Quoting from Olivia Guest et al. (2025) "Against the Uncritical Adoption of AI Technologies in Academia."

The Ed. Dept. Wants to Steer Grant Money to AI. What That Means for Schools

The Education Department is proposing to make advancing AI in education one of its grantmaking priorities.

How the Protocol Institute is Adopting AI

What building a research institute at 100% adoption actually looks like

This big university system is embracing AI. Students and faculty aren't all on board

The California State University system offers an early look at what happens when an administration commits to a technology that its own community isn't convinced will improve education.

An inference cooperative for academic AI – Writings and rehearsals by Nathan Schneider

Universities, like other institutions, are currently being confronted with a dilemma: embrace the AI tools currently available from big-name tech companies, and be part of the future, or reject the miraculous machines and stick your head in the sand. This dilemma is a false one, on several counts. It is far from clear what role generative AI will have in the future of academic life, for one thing. And beyond rewording the choices, surely there are other options that this dilemma fails to consider.

AI and the crisis of the author

Editor’s note (September 21, 2026): We have removed this essay. AI was used in its preparation. The TLS editorial guidelines prohibit the use of AI in the