1. The Regulatory Landscape: From the EU AI Act’s risk-based approach to the U.S. NIST framework’s focus on transparency and accountability, how are global standards shaping AI development?
2. Ethics in Practice: Can frameworks like “Power-Sharing Liberalism” bridge the gap between ethical principles and technical implementation? We’ll dissect real-world challenges in bias mitigation, human oversight, and algorithmic fairness.
3. Future Frontiers: Generative AI, autonomous systems, and global coordination—what risks and opportunities lie ahead, and how can governance frameworks adapt?
4. How companies across diverse industries are currently thinking about the “business case” for responsible AI, what levers are available on the business side, and how we can think about furthering responsible AI using the corporate world’s soft power (in parallel with hard power i.e. government regulation)
Technical level: Introductory level/students (some technical knowledge needed)
Session Length: 40 minutes
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