611 citations · 688 across the 6 of their papers we have counts for
7 papers
Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives
Laura Londoño, Klaus Baumann, Abhinav Valada +1
Care robots are increasingly being introduced into healthcare settings, raising important questions about their acceptance and ethical implementation. To better understand these ch…
Software Doping Analysis for Human Oversight
Sebastian Biewer, Kevin Baum, Sarah Sterz +5
This article introduces a framework that is meant to assist in mitigating societal risks that software can pose. Concretely, this encompasses facets of software doping as well as u…
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith, Markus Langer
Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societ…
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…