Balancing fraud analytics with legal requirements: Governance practices and trade-offs in public administrations

Fraud analytics refers to the use of advanced analytics (data mining, big data analysis, or artificial intelligence) to detect fraud. While fraud analytics offers the promise of more efficiency in fighting fraud, it also raises legal challenges related to data protection and administrative law. These legal requirements are well documented but...

Report from the 1st Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI ’19)

In the past years, everyday life has been profoundly transformed by the development and widespread of digital technologies. General, as well as specialized audiences, have to face an ever-increasing amount of knowledge and learn new abilities. This first edition of the EASEAI workshop tried to address that challenge by looking at software...