Comparing Humans, AI, and Human-AI Teams
Led by: Vera Liao & Amy Perez
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.
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.
This workshop is part of an InnovateUS Series called : Practical Approaches to Evaluating AI for Public Benefit
Click here to view all workshops from this seriesAmy Perez
Nonresident Policy Fellow at Stanford's Regulation, Evaluation, and Governance Lab (RegLab)
View bioModerated By
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