A new episode of KickBack: The Global Anticorruption Podcast is now available. In this week’s episode, my collaborators Nils Köbis and Christopher Starke interview Irio Musskopf, a Brazilian software engineer who co-founded and developed an open-data anticorruption project called Operation “Serenata de Amor, which uses artificial intelligence algorithms to analyze publicly available data to identify and publicize information about suspicious cases involving potential misappropriation of public money. Mr. Musskopf discusses the background of the project,the basic statistical approach to detecting suspicious spending patterns,the reasons for relying exclusively on public data (even when offered access to non-public information), and some of the challenges the project team has encountered. The conversation also discusses more general questions regarding the role that intelligent algorithms can play in anticorruption efforts, including questions about whether and where such algorithms might be able to supplant human analysis, and when human decision-making will remain essential..
You can find this episode here. You can also find both this episode and an archive of prior episodes at the following locations:
- The Interdisciplinary Corruption Research Network (ICRN) website
- Google Podcasts
- Apple Podcasts
KickBack is a collaborative effort between GAB and the ICRN. If you like it, please subscribe/follow, and tell all your friends! And if you have suggestions for voices you’d like to hear on the podcast, just send me a message and let me know.