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@jessicahullman
Ginni Rometty Prof @NorthwesternCS, Fellow @IPRatNU AI, decisions, metascience Blog @statmodeling http://jessicahullman.substack.com Lab http://hullmanlab.northwestern.edu
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AI-assisted science needs people who can answer for results and challenge them, argues Northwestern professor Jessica Hullman.
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Jessica Hullman says LLM-implemented checklists learned from prior reviews can reduce variance with limited added bias.
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Gary King and Steven Worthington say the human reviews were judged unusually good by journal editors and authors.
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A post shares a new paper asking whether bad LLM decisions reflect mistaken beliefs or a failure to optimize actions.
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Jesse Singal says a detector relying on Pangram rated QualiaQuanta’s whole article 100% human.
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The essay’s author shares personal reflections on a growing disconnect between scientific rigor, professional recognition and organizational rewards.
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The post says the interviews will inform tools for planning and validating LLM studies.
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A user attributes the line to Pangram's 'Scan for AI Text' objection letter generator.
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A post says Nihar Shah spent 20–25 hours over two weeks interviewing authors about their seemingly low-quality submissions to TMLR.
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Calling AI “amazing,” the post’s author nevertheless urges people to stop letting it speak for them.
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Jessica Hullman clarifies differing roles of editors and reviewers on AI-generated prose policies.
