AI for Impact 
Practical Approaches to Evaluating AI for Pub…Coming UpWhy Measuring AI Is Hard
Explore the limitations of common AI benchmarks, the differences between predictive and generative AI systems, and why performance in laboratory tests often fails to predict success in real-world settings.
AI, Energy, and the Environment: Use, Policy,…Coming UpAI, Data Centers, and Growing Resource Demands
This session examines what is driving AI-related resource demand, what remains uncertain, and how public officials can evaluate competing claims about economic development, sustainability, affordability, and reliability.
Practical Approaches to Evaluating AI for Pub…Coming UpMeasuring What Matters
This session examines how agencies can move beyond productivity measures to define success in terms of service quality, accuracy, equity, public trust, resident and worker experience, and public outcomes.
AI, Energy, and the Environment: Use, Policy,…Coming UpUsing AI to Improve Energy and Environmental Systems
Explore how public agencies, utilities, and environmental organizations are using AI across energy and environmental systems, where these applications are delivering value, and how organizations can evaluate their effectiveness and impact.
Practical Approaches to Evaluating AI for Pub…Coming UpComparing Humans, AI, and Human-AI Teams
Explore methods for comparing human-only, AI-only, and human-plus-AI workflows and identifying where AI adds value, where it creates risks, and where hybrid approaches perform best.