AI for Impact 
Comparing Humans, AI, and Human-AI Teams
The most important question is often not whether AI performs well in isolation, but whether it improves performance relative to current practice. This session explores 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.
Learning Goals
By the end of this workshop, participants will be able to:
- Compare the performance of human-only, AI-only, and human-plus-AI approaches across real-world government tasks and workflows.
- Identify where AI can improve current practices, where it may introduce new risks, and where human judgment and oversight remain essential.
- Evaluate when hybrid human-AI approaches can deliver better performance, reliability, and public outcomes than either humans or AI working alone.
Principles for Public-Sector AI Evaluation
Try Before and After You Buy
Measuring What Matters