We keep saying: "AI will handle the boring stuff, and humans will supervise." But the problem is--as AI reliability improves, it becomes really hard to motivate a human to conscientiously monitor it. In a new WP with Gerard Cachon, we describe the "human-AI contracting paradox."

Yet another example - adopting over-hyped AI/EdTech in classrooms without careful thought (especially replacing time with “trained, caring teachers”) is likely to have many negative consequences on kids' learning, motivation, and well-being ⁦https://wired.com/story/ai-teacher-inside-alpha-school/

Such a great article!! Well worth reading instead of using chatgpt to summarize 😂 www.nytimes.com/2025/07/18/o...

Out in @pnas.org today!! We ran a field experiment with ~1000 high school students & found: ✅ GenAI tutoring boosts practice perf ⚠️ But hinders human learning, hurting perf when AI access is removed 🛡️ Safeguards like hint-based help can offset this www.pnas.org/doi/10.1073/...

Cool paper using brain imaging to track cognitive load while writing essays! As expected, people under-use their brain when using LLM assistance, but interestingly, they also struggle more when switching back to writing on their own -- AI assistance creates "cognitive debt" arxiv.org/abs/2506.08872

"Putting more screens in our classrooms is not going to automatically lead to a smarter, healthier or better-employed population. And parents of all backgrounds need to stand up and shout it now." www.nytimes.com/2025/05/14/o...

Conformal prediction sets are a useful way to capture uncertainty for LLMs & deep learning models. But they're data-hungry! We propose a semi-bandit algo to learn these sets online. Check out our @icmlconf.bsky.social paper: arxiv.org/abs/2405.13268 Work led by Haosen Ge, w/ @obastani.bsky.social

Great video summarizing our research! AI in education needs to be carefully designed to ensure we support critical thinking & learning W/ @obastani.bsky.social Alp Haosen Ozge Rei youtube.com/watch?v=n2W_...

Excited to once again co-organize the 4th Annual Workshop on AI & Analytics for Social Good at UMD on 5/2 with Margret Bjarnadottir, Jessica Clark, Jui Ramprasad, and John Silberholz! Early-career scholars, please submit your "AI for good" work by 2/14: www.rhsmith.umd.edu/departments/...

Excited to see our paper "Generative AI Can Harm Learning" cited in Ch 7 of the 2025 Economic Report of the President: whitehouse.gov/cea/written-... Paper: papers.ssrn.com/sol3/papers...., co-authored with @obastani.bsky.social, Alp, Haosen, Ozge & Rei

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