In this section, you can find other scientific publications by RESPOND partners on topics related to the project, though not produced within the framework of RESPOND.
The rise of big data offering real-time access to volumes of micro-level electronic data is the most visible face of the third generation of corruption measures. It has raised expectations for innovative methods of detection supporting bottom-up and top-down reforms. The “datafied society” has opened avenues for new quantitative analyses, many related to procurement and…
Description: Innovation is defined not only by the type of technology used, but also by who creates it and the processes by which it is developed and deployed. This chapter explores the development of AI-based anti-corruption technologies (AI-based ACTs) by providing empirical evidence on applications implemented by governmental and non-governmental organisations in Italy, Estonia, Germany, Brazil,…
Article in British Journal of Psychology Description: Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks-it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches to prevent…
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…