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U4 Anti-Corruption Resource Centre

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Blog post | Jan 2025

Unlocking AI’s potential in anti-corruption: Hype vs. reality.

Guillaume Nicaise, Daniel Sejerøe Hausenkamph (2025)
U4 Blog Post
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https://www.u4.no/blog/unlocking-ai-s-potential-in-anti-corruption-hype-vs-reality

We can learn from AI’s successes in protecting public money and predicting corruption. But we must also examine its challenges. With human oversight and intervention, we can unlock AI’s potential in anti-corruption work.

Read more:
https://www.u4.no/blog/unlocking-ai-s-potential-in-anti-corruption-hype-vs-reality

Guillaume Nicaise

Senior Adviser (U4)
  • guillaume.nicaise@cmi.no

Daniel Sejerøe Hausenkamph

Programme Adviser (U4)
  • daniel.hausenkamph@cmi.no

U4 Anti-Corruption Resource Centre

Feb 2002 - Dec 2026
  • Corruption
  • Corruption
  • Anti-corruption interventions
  • Anti-corruption tools
  • Artificial intelligence
  • Big data
  • Citizen engagement
  • Digital technology
  • Innovation
  • Datasets

Also from this project:

U4 Brief | Jan 2025

Artificial intelligence in anti-corruption – a timely update on AI technology

Dieter Zinnbauer

Blog post | Jan 2025

Assessing the quality of corruption surveys for SDG 16.5 monitoring and beyond

Giulia Mugellini

See also:

Journal Article | Jan 2025

Fragmenting forest governance: Land tenure and the REDD+ paradox in Kigoma pilot project, Tanzania

Emma Jane Lord

Political Geography

Blog post | Jan 2025

Five ways for anti-corruption conditionality to succeed in Ukraine

Michael Martin Richter

U4 Issue | 2024

Including civil society perspectives in UNCAC: Lessons from other international treaties

Coralie Pring, Suzanne Mulcahy, Beauty Emefa Narteh

Blog post | 2024

Can we standardise global corruption measurement?

Salomé Flores Sierra Franzoni

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