AI in policy evaluation: Governing with Artificial Intelligence
webCredibility Rating
High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: OECD
Published by the OECD in 2025, this report is relevant for AI safety researchers and policymakers interested in how algorithmic systems affect public sector decision-making and what governance safeguards are needed to preserve accountability.
Metadata
Summary
This OECD report examines how artificial intelligence is being integrated into government policy evaluation processes, analyzing both the opportunities and risks of AI-assisted decision-making in public administration. It addresses governance frameworks needed to ensure accountability, mitigate bias, and prevent automation bias when AI systems inform or automate policy assessments. The report offers guidance for policymakers on responsible deployment of AI in evaluative contexts.
Key Points
- •AI tools are increasingly used in government policy evaluation, offering efficiency gains but introducing risks of algorithmic bias and reduced human oversight.
- •Automation bias poses a significant challenge when policymakers defer to AI recommendations without sufficient critical scrutiny.
- •Robust governance frameworks are needed to ensure transparency, accountability, and explainability of AI-assisted policy evaluations.
- •The report highlights the need for human-in-the-loop mechanisms to maintain meaningful human control over consequential public decisions.
- •International coordination and shared standards are recommended to harmonize responsible AI use across OECD member governments.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI-Driven Institutional Decision Capture | Risk | 73.0 |
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AI in policy evaluation: Governing with Artificial Intelligence | OECD
Dec
JAN
Feb
28
2025
2026
2027
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