611 citations · 688 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives
Markus Langer, Kevin Baum, Kathrin Hartmann +3
National and international guidelines for trustworthy artificial intelligence (AI) consider explainability to be a central facet of trustworthy systems. This paper outlines a multi…
"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Algorithmic Decision-Making Systems?
Markus Langer, Tim Hunsicker, Tina Feldkamp +2
In the media, in policy-making, but also in research articles, algorithmic decision-making (ADM) systems are referred to as algorithms, artificial intelligence, and computer progra…
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer, Daniel Oster, Timo Speith +5
Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, a…