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🛡️ AI Safety & Ethics

Alignment, interpretability, AI risks, and building safe AI systems

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MIT 24-Hour Challenge 2026
AI Safety & Ethics
MIT 24-Hour Challenge 2026
MIT OpenCourseWare Beginner 3w ago
Lecture 10: Counterparty Risk Optimization
AI Safety & Ethics
Lecture 10: Counterparty Risk Optimization
MIT OpenCourseWare Intermediate 4mo ago
Lecture 18: Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios
AI Safety & Ethics
Lecture 18: Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios
MIT OpenCourseWare Intermediate 4mo ago
Lecture 11: Contagious Structure in Projection Theory
AI Safety & Ethics
Lecture 11: Contagious Structure in Projection Theory
MIT OpenCourseWare Intermediate 5mo ago
20. The Toxic Power of Data and Experiment
AI Safety & Ethics
20. The Toxic Power of Data and Experiment
MIT OpenCourseWare Beginner 6mo ago
Lecture 32: Live Action Games
AI Safety & Ethics
Lecture 32: Live Action Games
MIT OpenCourseWare Intermediate 6mo ago
Lecture 33: Ethics in Games
AI Safety & Ethics
Lecture 33: Ethics in Games
MIT OpenCourseWare Intermediate 6mo ago
Lecture 30: Clients for Assignment 3 Visit
AI Safety & Ethics
Lecture 30: Clients for Assignment 3 Visit
MIT OpenCourseWare Advanced 6mo ago
Lecture 25: Fiction and Stories in Games
AI Safety & Ethics
Lecture 25: Fiction and Stories in Games
MIT OpenCourseWare Beginner 6mo ago
Lecture 21: Games as Teaching Tools
AI Safety & Ethics
Lecture 21: Games as Teaching Tools
MIT OpenCourseWare Beginner 6mo ago
Lecture 5: Assignment 1 Brainstorming and Team Formation
AI Safety & Ethics
Lecture 5: Assignment 1 Brainstorming and Team Formation
MIT OpenCourseWare Intermediate 6mo ago
Lecture 11: Extreme and Intermediate Value Theorem; Metric Spaces
AI Safety & Ethics
Lecture 11: Extreme and Intermediate Value Theorem; Metric Spaces
MIT OpenCourseWare Beginner 7mo ago
Lecture 18: Integrable Functions
AI Safety & Ethics
Lecture 18: Integrable Functions
MIT OpenCourseWare Intermediate 7mo ago
Lecture 23: Existence & Uniqueness for ODEs: Picard–Lindelöf Theorem
AI Safety & Ethics
Lecture 23: Existence & Uniqueness for ODEs: Picard–Lindelöf Theorem
MIT OpenCourseWare Intermediate 7mo ago
Lecture 8: Convergence Tests for Series; Power Series
AI Safety & Ethics
Lecture 8: Convergence Tests for Series; Power Series
MIT OpenCourseWare Intermediate 7mo ago
Lecture 9: Limsup and Liminf; Power Series; Continuous Functions; Exponential Function
AI Safety & Ethics
Lecture 9: Limsup and Liminf; Power Series; Continuous Functions; Exponential Function
MIT OpenCourseWare Intermediate 7mo ago
Lecture 4: Sequences; Convergence
AI Safety & Ethics
Lecture 4: Sequences; Convergence
MIT OpenCourseWare Beginner 7mo ago
Lecture 22: Differentiating and Integrating Power Series; Ordinary Differential Equations (ODEs)
AI Safety & Ethics
Lecture 22: Differentiating and Integrating Power Series; Ordinary Differential Equations (ODEs)
MIT OpenCourseWare Intermediate 7mo ago
Lecture 3: How to Write a Proof; Archimedean Property
AI Safety & Ethics
Lecture 3: How to Write a Proof; Archimedean Property
MIT OpenCourseWare Intermediate 7mo ago
Lecture 17: Taylor Polynomials; Remainder Term; Riemann Integrals
AI Safety & Ethics
Lecture 17: Taylor Polynomials; Remainder Term; Riemann Integrals
MIT OpenCourseWare Advanced 7mo ago
Lecture 1: Introduction to Real Numbers
AI Safety & Ethics
Lecture 1: Introduction to Real Numbers
MIT OpenCourseWare Beginner 7mo ago
Lecture 15: Derivatives; Laws for Differentiation
AI Safety & Ethics
Lecture 15: Derivatives; Laws for Differentiation
MIT OpenCourseWare Intermediate 7mo ago
Lecture 10: Continuous Functions; Exponential Function (cont.)
AI Safety & Ethics
Lecture 10: Continuous Functions; Exponential Function (cont.)
MIT OpenCourseWare Advanced 7mo ago
Lecture 5: Monotone Convergence Theorem
AI Safety & Ethics
Lecture 5: Monotone Convergence Theorem
MIT OpenCourseWare Beginner 7mo ago
Lecture 20: Pointwise Convergence; Uniform Convergence
AI Safety & Ethics
Lecture 20: Pointwise Convergence; Uniform Convergence
MIT OpenCourseWare Beginner 7mo ago
Lecture 6: Cauchy Convergence Theorem
AI Safety & Ethics
Lecture 6: Cauchy Convergence Theorem
MIT OpenCourseWare Intermediate 7mo ago
Lecture 16: Rolle’s Theorem; Mean Theorem; L’Hôpital’s Rule; Taylor Expansion
AI Safety & Ethics
Lecture 16: Rolle’s Theorem; Mean Theorem; L’Hôpital’s Rule; Taylor Expansion
MIT OpenCourseWare Intermediate 7mo ago
Lecture 12: Convergence in Metric Spaces; Operations on Sets
AI Safety & Ethics
Lecture 12: Convergence in Metric Spaces; Operations on Sets
MIT OpenCourseWare Intermediate 7mo ago
Lecture 14: Sequential Compactness; Bolzano–Weierstrass Theorem in a Metric Space
AI Safety & Ethics
Lecture 14: Sequential Compactness; Bolzano–Weierstrass Theorem in a Metric Space
MIT OpenCourseWare Intermediate 7mo ago
Lecture 2: Introduction to Real Numbers (cont.)
AI Safety & Ethics
Lecture 2: Introduction to Real Numbers (cont.)
MIT OpenCourseWare Beginner 7mo ago
Lecture 13: Open and Closed Sets; Coverings; Compactness
AI Safety & Ethics
Lecture 13: Open and Closed Sets; Coverings; Compactness
MIT OpenCourseWare Intermediate 7mo ago
Lecture 7: Bolzano–Weierstrass Theorem; Cauchy Sequences; Series
AI Safety & Ethics
Lecture 7: Bolzano–Weierstrass Theorem; Cauchy Sequences; Series
MIT OpenCourseWare Beginner 7mo ago
Lecture 21: Integrals and Derivatives under Uniform Convergence
AI Safety & Ethics
Lecture 21: Integrals and Derivatives under Uniform Convergence
MIT OpenCourseWare Intermediate 7mo ago
Do the Rich Deserve Their Wealth? Exploring the Case for Luck Insurance
AI Safety & Ethics
Do the Rich Deserve Their Wealth? Exploring the Case for Luck Insurance
MIT OpenCourseWare Intermediate 8mo ago
Twenty, twenty, 24 hours to give…I wanna be educated
AI Safety & Ethics
Twenty, twenty, 24 hours to give…I wanna be educated
MIT OpenCourseWare Beginner 1y ago
Lecture 12: Ethics and Markets
AI Safety & Ethics
Lecture 12: Ethics and Markets
MIT OpenCourseWare Intermediate 1y ago
Lecture 13: Search, Part 3
AI Safety & Ethics
Lecture 13: Search, Part 3
MIT OpenCourseWare Intermediate 1y ago
Lecture 23: Auctions, Part 2
AI Safety & Ethics
Lecture 23: Auctions, Part 2
MIT OpenCourseWare Intermediate 1y ago
Lecture 07: Estimation of Demand, Supply, and Market Power, Part 1
AI Safety & Ethics
Lecture 07: Estimation of Demand, Supply, and Market Power, Part 1
MIT OpenCourseWare Intermediate 1y ago
Lecture 08: Estimation of Demand, Supply, and Market Power, Part 2
AI Safety & Ethics
Lecture 08: Estimation of Demand, Supply, and Market Power, Part 2
MIT OpenCourseWare Intermediate 1y ago
Lecture 17: Proton Imaging
AI Safety & Ethics
Lecture 17: Proton Imaging
MIT OpenCourseWare Intermediate 1y ago
Lecture 15: Equilibria and Imaging
AI Safety & Ethics
Lecture 15: Equilibria and Imaging
MIT OpenCourseWare Intermediate 1y ago
Lecture 5: Refractive Index Diagnostics I
AI Safety & Ethics
Lecture 5: Refractive Index Diagnostics I
MIT OpenCourseWare Intermediate 1y ago
Lecture 27: Current-Mode Control
AI Safety & Ethics
Lecture 27: Current-Mode Control
MIT OpenCourseWare Beginner 1y ago
Lecture 25: Control, Part 2
AI Safety & Ethics
Lecture 25: Control, Part 2
MIT OpenCourseWare Beginner 1y ago
Lecture 24: Control, Part 1
AI Safety & Ethics
Lecture 24: Control, Part 1
MIT OpenCourseWare Beginner 1y ago
Lecture 9: Solar concentration and solar thermal technology
AI Safety & Ethics
Lecture 9: Solar concentration and solar thermal technology
MIT OpenCourseWare Intermediate 1y ago
Lecture 20: Omitted Variable Bias
AI Safety & Ethics
Lecture 20: Omitted Variable Bias
MIT OpenCourseWare Intermediate 2y ago
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