Session Responsible Learning Aaron Roth Information Guide

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Background of Session Responsible Learning Aaron Roth

Information Session: Responsible Learning - Aaron Roth Update
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Key Details

Mathematical Foundations of AI Alignment, Lecture 17 (Safe Delegated Approval to Misaligned Agents) Update
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Latest News

Information Mathematical Foundations of AI Alignment, Lecture 13 (Hallucination and Calibration) Update
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Mathematical Foundations of AI Alignment, Lecture 11.2 (Tractable Agreement From Calibration)
Mathematical Foundations of AI Alignment, Lecture 11.2 (Tractable Agreement From Calibration)
Advocating for Ethical Algorithms | Michael Kearns & Aaron Roth
Advocating for Ethical Algorithms | Michael Kearns & Aaron Roth
Solutions to AI: One-Size-Fits-All | Michael Kearns & Aaron Roth
Solutions to AI: One-Size-Fits-All | Michael Kearns & Aaron Roth
Aaron Roth: What Should We Trust in Trustworthy Machine Learning
Aaron Roth: What Should We Trust in Trustworthy Machine Learning
Understanding Ethics and Algorithms | Michael Kearns & Aaron Roth
Understanding Ethics and Algorithms | Michael Kearns & Aaron Roth
What inspired The Ethical Algorithm | Michael Kearns & Aaron Roth
What inspired The Ethical Algorithm | Michael Kearns & Aaron Roth
Quantifying tradeoffs between fairness and accuracy in online learning - Aaron Roth
Quantifying tradeoffs between fairness and accuracy in online learning - Aaron Roth
ESIF-AIML 2026 | Calibration in the Age of AI by Aaron Roth (University of Pennsylvania)
ESIF-AIML 2026 | Calibration in the Age of AI by Aaron Roth (University of Pennsylvania)
Aaron Roth @ Theory Lunch
Aaron Roth @ Theory Lunch

Deep Dive

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Last Updated: October 31, 2026

Summary

Aaron Roth: Online Multivalid Learning: Game Theory for Better Prediction News
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Summary

aaroth.github.io/cis-7000-ai-alignment/ We show how to safely delegate oversight to panels of misaligned agents by taking ... Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing ... Computer Science/Discrete Mathematics Seminar I Topic: Quantifying tradeoffs between fairness and accuracy in online ESIF-AIML 2026 | "Calibration in the Age of AI: From Prediction to Decision Making to AI Assisted Research" by Title: Oracle Efficiency in Differential Privacy Abstract: We develop theory for using heuristics to solve computationally hard ...

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