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 the concrete way in which public administrations have integrated them remains unexplored. Due to the complexity of the techniques applied, it is crucial to understand the current state of practice and the accompanying challenges to develop appropriate governance mechanisms. The use of advanced analytics in organizations without appropriate organizational change can lead to ethical challenges and privacy issues. The goal of this article is to examine how these legal requirements are addressed in public administrations and to identify the challenges that emerge in doing so. For this, we examined two case studies related to fraud analytics from the Belgian Federal administration: the detection of tax frauds and social security infringements. This article details 15 governance practices that have been used in administrations. Furthermore, it highlights the complexity of integrating legal requirements with advanced analytics by identifying six key trade-offs between fraud analytics opportunities and legal requirements. @en

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 engineering, education, and artificial intelligence research fields to explore how they can be combined. Specifically, we brought together researchers, teachers, and practitioners who use advanced software engineering tools and artificial intelligence techniques in education. And researchers and teachers in education science who address the problem of improving the awareness regarding digital technologies through a transgenerational and transdisciplinary range of students.@en

Welcome to the second edition of the International Workshop on Education
through Advanced Software Engineering and Artificial Intelligence (EASEAI 2020)
to be held virtually, November 9, 2020, co-located with ESEC/FSE 2020.
In the past years, with the development and widespread of digital technologies,
everyday life has been profoundly transformed. The general public, as well as
specialized audiences, have to face an ever-increasing amount of knowledge and
learn new abilities. The EASEAI workshop addresses that challenge by looking
at software engineering, education, and artificial intelligence research fields to
explore how they can be combined. Specifically, this workshop brings together
researchers, teachers, and practitioners who use advanced software engineering
tools and artificial intelligence techniques in the education field and through a
transgenerational and transdisciplinary range of students to discuss the current
state of the art and practices, and establish new future directions. In total, EASEAI 2020 received 13 submissions, out of which 5 papers were accepted after a thorough reviewprocess. Three members of the program committee reviewed each submission. We also received two presentation abstracts, both selected for presentation during the workshop. We sincerely thank the program committee members, authors, and participants who will make EASEAI an exciting and successful event!@en