Join us for an illuminating conversation with Arvind Narayanan, Princeton University Computer Science Professor and Director of Princeton's Center for Information Technology Policy, as he unpacks the complex world of artificial intelligence claims and reality. In this episode, Narayanan discusses his new book "AI Snake Oil," offering critical insights into distinguishing genuine AI advances from overblown marketing promises.

Key highlights include:

• The distinction between predictive AI and generative AI
• Real-world examples of AI snake oil in hiring, criminal justice, and education
• How institutional flaws contribute to the proliferation of questionable AI products
• Practical frameworks for evaluating AI claims and implementations
• The importance of contestability and human oversight in AI systems
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