Notes from fellows, staff, and contributors on the practical and critical work of using AI at a public university.
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Registration is open for our Fall 2026 workshop series, featuring a three-part track on building digital projects with AI-assisted coding, a three-part track on customizing models in the CUNY AI Lab Sandbox, and three drop-in co-working sessions.
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How CUNY Login works with Lab access, and what to do when sign-in does not get you in.
Read postIan G. Williams
CAIL Fellow Ian G. Williams revisits his February 2026 essay on AI literacy — first published on the GC Digital Fellows' blog — and how it connects to Daniel Greene's Access Doctrine and structural views of the digital divide.
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Why the CUNY AI Lab runs nearly all of its tools on open-weight models — what open weights are, what frontier models cost to run, and how open models have closed the capability gap.
Read postEllen Siyuan Pan
A CUNY instructor designs a Shakespeare translation assignment in the CUNY AI Lab Sandbox, using a custom model seeded with deliberate errors to teach students to critically evaluate AI-generated interpretations.
Read postNicole Walker
A CAIL workshop participant vibe-codes a tool that gives composition students real-time feedback on whether their paragraphs genuinely 'think with' a text — and reflects on what that means for the value of a humanities education.
Read postIan G. Williams
A CAIL Fellow reflects on building a personal Pomodoro timer through AI-assisted prototyping in the Spring 2026 workshop series — and on the ambivalence of doing so.
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Why the CUNY AI Lab is starting a blog, and what to expect from posts here.
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