The promise and perils of using artificial intelligence to fight corruption – Nature.com

The promise and perils of using artificial intelligence to fight corruption – Nature.com

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Nature Machine Intelligence (2022)
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Corruption presents one of the biggest challenges of our time, and much hope is placed in artificial intelligence (AI) to combat it. Although the growing number of AI-based anti-corruption tools (AI-ACT) have been summarized, a critical examination of their promises and perils is lacking. Here we argue that the success of AI-ACT strongly depends on whether they are implemented top–down (by governments) or bottom–up (by citizens, non-governmental organizations or journalists). Top–down use of AI-ACT can consolidate power structures and thereby pose new corruption risks. Bottom–up use of AI-ACT has the potential to provide unprecedented means for the citizenry to keep their government and bureaucratic officials in check. We outline the societal and technical challenges that need to be overcome to harness the potential for AI to fight corruption.
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Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
Nils Köbis & Iyad Rahwan
Human(e) AI, Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, The Netherlands
Christopher Starke
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N.K. provide conceptualization and visualization, wrote the original draft and reviewed and edited the manuscript. C.S. provided conceptualization, wrote the original draft and reviewed and edited the manuscript. I.R. reviewed and edited the manuscript and provided supervision and visualization.
Correspondence to Nils Köbis.
The authors declare no competing interests.
Nature Machine Intelligence thanks Alice Mattoni and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Köbis, N., Starke, C. & Rahwan, I. The promise and perils of using artificial intelligence to fight corruption. Nat Mach Intell (2022). https://doi.org/10.1038/s42256-022-00489-1
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Received: 21 October 2021
Accepted: 13 April 2022
Published: 23 May 2022
DOI: https://doi.org/10.1038/s42256-022-00489-1
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