4 papers · 1 filter
Normative Common Ground Replication (NormCoRe): Replication-by-Translation for Studying Norms in Multi-Agent AI
Luca Deck, Simeon Allmendinger, Lucas Müller +1
In the late 2010s, the fashion trend NormCore framed sameness as a signal of belonging, illustrating how norms emerge through collective coordination. Today, similar forms of norma…
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness
Luca Deck, Jan-Laurin Müller, Conradin Braun +2
The topic of fairness in AI, as debated in the FATE (Fairness, Accountability, Transparency, and Ethics in AI) communities, has sparked meaningful discussions in the past years. Ho…
Towards Avoiding the Data Mess: Industry Insights from Data Mesh Implementations
Jan Bode, Niklas Kühl, Dominik Kreuzberger +2
With the increasing importance of data and artificial intelligence, organizations strive to become more data-driven. However, current data architectures are not necessarily designe…
A Critical Survey on Fairness Benefits of Explainable AI
Luca Deck, Jakob Schoeffer, Maria De-Arteaga +1
In this critical survey, we analyze typical claims on the relationship between explainable AI (XAI) and fairness to disentangle the multidimensional relationship between these two…