What Can the Theory of Cryptography Tell Us About AI Verification?Theory & Algos·Research Seminar·Language Models & NLP · Shafi Goldwasser · Simons Institute (UC Berkeley)Shafi GoldwasserSimons Institute (UC Berkeley)—1:02:15
What Humans Want: Models of Preference and Reward in Minds and MachinesTheory & Algos·Research Seminar·Language Models & NLP · Brian Christian · UC BerkeleyBrian ChristianUC Berkeley—1:06:50
Just Machine LearningFoundations of Complex Systems · Lec 12·Deep Learning · Tina Eliassi-Rad · Santa Fe InstituteTina Eliassi-RadSanta Fe Institute—1:13:25
Foundations, Privacy & Generalization Challenges in Modern Machine LearningTheoretical Foundations of Modern Machine Learning · Lec 2·Mechanistic Interpretability, Alignment & World Models · Katrina Ligett · UC BerkeleyKatrina LigettUC Berkeley—36:41
Multi-objective Learning: An Algorithmic Toolbox for Optimal Predictions Anytime AnywhereTheoretical Foundations of Modern Machine Learning · Lec 6·AI Safety, Fairness & Alignment · Nika Haghtalab · UC BerkeleyNika HaghtalabUC Berkeley—37:40
AI and SafetyTheoretical Foundations of Modern Machine Learning · Lec 12·AI Alignment, Safety & Scalable Oversight · Ron Rivest · UC BerkeleyRon RivestUC Berkeley—29:26
Invariance TheoremsAnalysis of Boolean Functions · Lec 19·AI Alignment, Safety & Scalable Oversight · Ryan O'Donnell · Carnegie Mellon UniversityRyan O'DonnellCarnegie Mellon University—1:17:58