3 papers
cs.LG2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck, Astrid Schomäcker, Timo Speith +3
The widespread use of artificial intelligence (AI) systems across various domains is increasingly surfacing issues related to algorithmic fairness, especially in high-stakes scenar…
cs.SE2023
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy
Sara Mann, Barnaby Crook, Lena Kästner +2
Modern computer systems are ubiquitous in contemporary life yet many of them remain opaque. This poses significant challenges in domains where desiderata such as fairness or accoun…
cs.SE2021
On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness
Lena Kästner, Markus Langer, Veronika Lazar +3
Recently, requirements for the explainability of software systems have gained prominence. One of the primary motivators for such requirements is that explainability is expected to…