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Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
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Explore policy design strategies for optimizing long-term societal welfare through this 15-minute conference talk that examines the intersection of artificial intelligence and public policy. Learn how computational approaches can inform policy decisions that affect welfare dynamics over extended time periods, with particular focus on the societal implications of AI systems. Discover research methodologies for analyzing the long-term effects of policy interventions and understand how algorithmic tools can be leveraged to design more effective social policies. Gain insights into the challenges of balancing immediate policy outcomes with sustainable long-term welfare improvements, and examine case studies that demonstrate the application of computational methods to real-world policy scenarios.
Syllabus
Policy Design in Long-Run Welfare Dynamics
Taught by
Association for Computing Machinery (ACM)