How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany. - Dian Balta; Peter Kuhn; Mahdi Sellami; Daniel Kulus; Claudius Lieven; Helmut Krcmar (EGOV, 2019)

Accountable Federated Machine Learning in Government: Engineering and Management Insights. - Dian Balta; Mahdi Sellami; Peter Kuhn; Ulrich Schöpp; Matthias Buchinger; Nathalie Baracaldo; Ali Anwar 001; Heiko Ludwig; Mathieu Sinn; Mark Purcell; Bashar Altakrouri (ePart, 2021)

Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. - Nathalie Baracaldo; Ali Anwar 001; Mark Purcell; Ambrish Rawat; Mathieu Sinn; Bashar Altakrouri; Dian Balta; Mahdi Sellami; Peter Kuhn; Ulrich Schöpp; Matthias Buchinger (CoRR, 2022)

Interaction Patterns for Regulatory Compliance in Federated Learning. - Mahdi Sellami; Tomas Bueno Momcilovic; Peter Kuhn; Dian Balta (CIISR@Wirtschaftsinformatik, 2023)