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.
This chapter provides an overview of current understandings of the relationship between digital technologies and anti-corruption. Existing knowledge predominantly stems from studies adopting a distant, instrumental perspective, often overlooking the grassroots dynamics of how digital technologies influence anti-corruption efforts and, in turn, how these efforts shape the use of such technologies to enhance transparency, accountability,…
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,…
Description: Dishonest behaviors such as tax evasion impose significant societal costs. Ex-ante honesty oaths—commitments to honesty before action—have been proposed as interventions to counteract dishonest behavior, but the heterogeneity in findings across operationalizations calls their effectiveness into question. We tested 21 honesty oaths (including a baseline oath)—proposed, evaluated, and selected by 44 expert researchers—and a no-oath…
Article in Elgar Encyclopedia of Corruption and Society (pp. 17-22). Edward Elgar Publishing. Description: Corruption is a complex and multifaceted problem, as is digital transformation. Big data paired with powerful, increasingly intelligent algorithms can be (ab)used to influence opinions. This entry examines the challenges and the potential of artificial intelligence (AI) as an anti-corruption tool. We show…
Article in iScience Volume 27, Issue 7 Description: Humans, aware of the social costs associated with false accusations, are generally hesitant to accuse others of lying. Our study shows how lie detection algorithms disrupt this social dynamic. We develop a supervised machine-learning classifier that surpasses human accuracy and conduct a large-scale incentivized experiment manipulating the availability of this lie-detection…