Exploring the landscape of AI advancements, deceptions, and limitations, Narayanan explains how to detect genuine AI innovations from overhyped and potentially harmful applications. We discuss real-world examples, ethical concerns, and the role of policy and regulation in mitigating AI snake oil.

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00:00 Introduction to AI Snake Oil

01:26 Deceptive AI Practices

03:16 Evaluating AI Products

04:38 Predictive vs Generative AI

06:06 Positive Applications of AI

09:30 Consumer Rights and AI

19:07 AI and Privacy Concerns

24:41 AI in Education

28:55 Integrating Causal Inference in Machine Learning

29:21 Misuse of Student Dropout Prediction Software

30:59 Academia's Role in AI Accountability

34:48 Hype and Reality of AI Agents

39:08 Superintelligence and Human-AI Collaboration

42:10 Institutional Flaws and AI Snake Oil

45:00 Policy and Regulation of AI

55:02 Creating AI-Ready Organizations

57:06 Conclusion and Final Thoughts