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AI in policy evaluation: Governing with Artificial Intelligence
webCredibility Rating
4/5
High(4)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
Importance: 52/100organizational reportanalysis
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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# Governing with Artificial Intelligence
The State of Play and Way Forward in Core Government Functions
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18 September 2025
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## AI in policy evaluation
[Copy link to AI in policy evaluation](https://www.oecd.org/en/publications/governing-with-artificial-intelligence_795de142-en/full-report/ai-in-policy-evaluation_c88cc2fd.html#indicator-d1e27621-6f09aca72d)
Public policy evaluation provides crucial evidence to help policymakers understand what works, for whom and under what circumstances [(OECD, 2025\[107\];](https://www.oecd.org/en/publications/governing-with-artificial-intelligence_795de142-en/full-report/ai-in-justice-administration-and-access-to-justice_f0cbe651.html#Kappa_77faa4fe_6f09aca72d) [2020\[108\])](https://www.oecd.org/en/publications/governing-with-artificial-intelligence_795de142-en/full-report/ai-in-justice-administration-and-access-to-justice_f0cbe651.html#Kappa_89b1577d_6f09aca72d). AI can play a significant role in supporting policy evaluation. The exponential rise in globally generated data coupled with the rapid development of new technologies lowering storage and computational costs, is driving innovation in techniques that can instantly capture, analyse and visualise these vast data repositories, enriching evaluations [(Petersson et al., 2017\[109\])](https://www.oecd.org/en/publications/governing-with-artificial-intelligence_795de142-en/full-report/ai-in-justice-administration-and-access-to-justice_f0cbe651.html#Gus17_6f09aca72d) [(Rinaldi, Giuffrida and Negrete, 2017\[110\])](https://www.oecd.org/en/publications/governing-with-artificial-intelligence_795de142-en/full-report/ai-in-justice-administration-and-access-to-justice_f0cbe651.html#Fra17_6f09aca72d). This can have important consequences on what and how evaluators evaluate.
AI has the potent
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