Opinion | I Teach Creative Writing. This Is What A.I. Is Doing to Students.
Such a great article!! Well worth reading instead of using chatgpt to summarize π
www.nytimes.com/2025/07/18/o...
21.07.2025 12:32 β π 2 π 0 π¬ 0 π 0
Thanks!! P.s. just so you know, you're the only reason I post on bluesky π
25.06.2025 21:34 β π 1 π 0 π¬ 1 π 0
Joint work w/ amazing team @obastani.bsky.social, Alp SΓΌngΓΌ, Haosen Ge, Γzge KabakcΔ±, & Rei Mariman.
Grateful for thoughtful feedback from Eric Bradlow, Angela Duckworth, Stefan Feuerriegel, Benjamin Lira Luttges, Lilach M., Ananya Sen, Christian Terwiesch, Lyle Ungar, & many others
25.06.2025 16:26 β π 0 π 0 π¬ 0 π 0
Out in @pnas.org today!! We ran a field experiment with ~1000 high school students & found:
β
GenAI tutoring boosts practice perf
β οΈ But hinders human learning, hurting perf when AI access is removed
π‘οΈ Safeguards like hint-based help can offset this
www.pnas.org/doi/10.1073/...
25.06.2025 16:26 β π 25 π 8 π¬ 3 π 0
Research increasingly shows that AI without appropriate guardrails can harm students' long-term learning and engagement. This is not something to be rushed into without careful experimentation and resources, especially when it comes to our young kids.
15.05.2025 01:08 β π 1 π 0 π¬ 0 π 0
Opinion | A.I. Will Destroy Critical Thinking in K-12
"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...
15.05.2025 01:01 β π 4 π 1 π¬ 2 π 0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction sets come with the gu...
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
06.05.2025 00:33 β π 11 π 3 π¬ 0 π 0
YouTube video by Edutopia
How AI Vaporizes Long-Term Learning
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_...
24.04.2025 18:58 β π 6 π 2 π¬ 0 π 0
Workshop on AI & Analytics for Social Good | Smith School
Join us at the Workshop on AI & Analytics for Social Good, themed around 'Analytics for Doing Good.' Hosted by the Smith School of Business at the University of Maryland on May 2, 2025, this event gat...
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/...
24.01.2025 15:37 β π 3 π 0 π¬ 0 π 0
Hi folks, I'm new here! ππΎ
16.11.2024 22:44 β π 5 π 0 π¬ 3 π 0
networks, contagion, causality
faculty at MIT
In-depth, independent reporting to better understand the world, now on Bluesky. News tips? Share them here: http://nyti.ms/2FVHq9v
Waitress turned Congresswoman for the Bronx and Queens. Grassroots elected, small-dollar supported. A better world is possible.
ocasiocortez.com
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
Leonard Davis Institute of Health Economics, @uofpenn.bsky.social's hub for multidisciplinary research and education on health care delivery, health policy & population health
Professor at UT Austin. Research in ML & Optimization. Always rethinking how I teach. Amateur accordion player. Committed bike commuter. Online classes in English & Greek. https://caramanis.github.io/
Associate Professor at Emory University.
Causal Inference | Difference-in-Differences | Econometrics. Dad x4
Assistant Professor at Imperial College Business School
Optimization+Machine Learning+Renewable Energy
Runner | Kiwi π³πΏ | ryancorywright.github.io
I integrate insights and techniques from machine learning into the econometric toolbox.
https://gsb-faculty.stanford.edu/jann-spiess
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement."
https://people.eecs.berkeley.edu/~emmapierson/
Prof @CIS_Penn @Penn; working on trustworthy machine learning
Entrepreneur
Costplusdrugs.com
Research Scientist Meta, Adjunct Professor at University of Pittsburgh. Interested in reinforcement learning, approximate DP, adaptive experimentation, Bayesian optimization, & operations research. http://danielrjiang.github.io
πChicago, IL
Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Dean, Carnegie Mellon in Qatar. Operations Research, Sports Scheduling
current professor at uc berkeley and soon-to-be professor at columbia.
things iβm likely to skeet about (in no particular order): research, the #NBA, music, and #Survivor
Assistant Professor at BU CDS
EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder
Previously Columbia, UW, Oberlin. Views are mine alone.
www.kiragoldner.com
Prof at MIT working on misinformation/fake news, social media, polarization, intuition vs deliberation, cooperation, politics, and religion. (he/him)
https://davidrand-cooperation.com/
Assistant Professor of Technology, Operations, and Statistics @ NYU Stern
Interested in Computational Social Science, Digital Persuasion, and Wisdom of Crowds
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/