AI Safety Course: Risks, Ethics & Technical Solutions
Master AI Safety: Build Robust, Ethical, and Aligned Systems
5.0(22)
239 learners
What you'll learn
Analyze AI safety mechanisms like robustness and model specifications
Explain the concept and risks of AI scheming and recursive self-improvement
Evaluate the economic and societal impacts of advanced AI systems
Assess the psychological dimensions of human-AI interaction and attachment
This course includes
20.3 hours of video
Certificate of completion
Access on mobile and TV
Course content
1 modules
• 13 lessons
• 20.3 hours of video
AI Safety Course: Risks, Ethics & Technical Solutions
13 lessons
• 20.3 hours
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When the earth dies (codex clip)03:03
AI Safety (CS 2881) Lecture 11: Mental Health and Emotional Attachment01:13:22
AI Safety (CS 2881) Lecture 10: Mechanistic Intepretability02:30:24
AI Safety (CS 2881) Lecture 9: Economic Impacts of AI02:32:32
AI Safety (CS 2881) Lecture 8 Experiment: Under Pressure33:52
AI Safety (CS 2881) Lecture 8: Scheming10:17
AI Safety (CS 2881) Lecture 7: Lab vs Field: Guest lecture by Joel Becker02:01:36
AI Safety (CS 2881) Lecture 5: Experiment on Policy compliance17:01
AI Safety (CS 2881) Lecture 6: Recursive Self Improvement02:29:32
AI Safety (CS 2881) Lecture 4: Model Specs02:06:03
AI Safety (CS 2881) Lecture 3: Robustness01:36:25
AI Safety (CS 2881) Lecture 2- Modern LLM training and safety training02:23:02
