BIT-ACT's new publication on AI tools to combat corruption

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In the paper "Bots against corruption: Exploring the benefits and limitations of AI-based anti-corruption technology", the BIT-ACT research fellow Fernanda Odilla explores novel data on 31 bottom-up and top-down initiatives in Brazil, presented as a case study. Findings suggest that Brazil has been a leader for several years in developing and employing artificial intelligence (AI) tools to combat corruption, but still has low level of concern related to biased codes and algorithms. 

The article also advances the definition of AI-based anti-corruption tools and introduces an analytical framework to assess  how these tools operate, who created them for what purpose, who uses and monitors these tools, what types of corruption they are targeting, and what their tangible outcomes are.

The paper was published at the academic journal Law, Crime and Social Change and can be accessed here. The publication is open access.