AI has generated a great deal of fear and optimism alike among academics, but much of that emotional energy stays internalised. This series of respectful conversations is intended to draw out and clarify how researchers currently feel, and what they forecast about how AI should and will affect academic work. Recorded live, posted in full, transcribed.
New episodes go up on YouTube first.
Want to come on? Email adler@hku.hk. 90 minutes over video, at a time that works for you. One rule: nothing substantive about my own paper — no feedback on the analysis, no suggestions about the data, no reading of drafts.
Patrick Adler, Ben Gerlofs, Tim Wotherspoon and Giancarlo DeFrancesco on a journal drawing a line, what is lost when the steps are skipped, and whether more research is a good thing at all.
Adler · Gerlofs · Wotherspoon · DeFrancesco
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Patrick Adler, Parth Goyal and Peter Matanle on disclosure scores, the stigma attached to partial AI use, authorship and credit, and whether transparency survives contact with the incentives around it.
Adler · Goyal · Matanle
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Transcripts are generated by Zoom and edited by Claude Opus 5: backchannel interjections and broken fragments removed, a small number of misrecognised proper nouns corrected. Wording is otherwise the speakers’ own.