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Human-Compatible Artificial Intelligence - Stuart Russell, University of California

Alan Turing Institute via YouTube

Overview

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This course explores the implications of human-compatible artificial intelligence, discussing the concerns and benefits of AI surpassing human capabilities. The learning outcomes include understanding the need for a fundamental reorientation in AI towards building systems that are beneficial for humans. The course covers topics such as machine learning accountability, fairness, privacy, safety, and engages with academia, industry, policy makers, and the wider public. The teaching method involves presentations and discussions led by leading researchers and stakeholders in the field. The intended audience includes individuals interested in the ethical and societal impacts of AI advancement.

Syllabus

Introduction
What is AI
What if we succeed
Benefits of AI
Limitations of AI
Nuclear energy
AI systems
Algorithms in social media
Standard model
Principles
Example
Research questions
Real humans
Tradeoffs
Avengers
The social aggregation theorem
Open source game theory
Avoiding failure mode
Nontechnical version
Summary
QA Can AI perform better than humans
AI and preferences
AI and happiness
AI in other disciplines

Taught by

Alan Turing Institute

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