Artificial Intelligence
What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
Led by: Arvind Narayanan & Beth Simone Noveck
-
Learn about the differences between predictive artificial intelligence (AI), generative AI, and other types of AI
-
Understand how to recognize AI hype and AI snake oil
-
Learn how to effectively incorporate AI into your workflow
-
Discuss which risks of AI are pressing and which are overblown
-
Learn about what the future of AI holds
-
Learn about the differences between predictive artificial intelligence (AI), generative AI, and other types of AI
-
Understand how to recognize AI hype and AI snake oil
-
Learn how to effectively incorporate AI into your workflow
-
Discuss which risks of AI are pressing and which are overblown
-
Learn about what the future of AI holds
Arvind Narayanan
Professor at Princeton University & Director of the Center for Information Technology Policy
View bioOther workshops in the Artificial Intelligence collection
Artificial Intelligence
Co-Designing with Communities: Building AI Tools with Residents and Frontline Staff
April 30, 2026
Artificial Intelligence
Simpler Services, Stronger Access: Designing Better Systems with AI
April 27, 2026
Artificial Intelligence
Innovations in Action: Inspiring projects from around the country
April 20, 2026
Artificial Intelligence
The Identity Challenge: Tackling User Disambiguation and Data Integration Across Programs
April 13, 2026
Artificial Intelligence
Governing and Funding Public AI: Standards, Oversight, and Sustainable Investment
April 8, 2026
Artificial Intelligence
AI Sovereignty: Sweden, Switzerland, and Beyond
April 1, 2026
Want to be a part of our community of innovators?
We'd love to keep in touch!
