Article in Minds and Machines, Springer Link

Description: This article discusses the potential sources and consequences of unfairness in artificial intelligence (AI) predictive tools used for anti-corruption efforts. Using the examples of three AI-based anti-corruption tools from Brazil—risk estimation of corrupt behaviour in public procurement, among public officials, and of female straw candidates in electoral contests—it illustrates how unfairness can emerge at the infrastructural, individual, and institutional levels

Link: https://link.springer.com/article/10.1007/s11023-024-09688-8

Year of publication: 2024

Author: Fernanda Odilla – UNIBO