Showing 1–16 of 16 results
/ Date/ Name
Aug 6, 2021Exploring Explainability: A Definition, a Model, and a Knowledge CatalogueSep 1, 2022How to Evaluate Explainability? -- A Case for Three CriteriaApr 29, 2024Mapping the Potential of Explainable AI for Fairness Along the AI LifecycleApr 23, 2025What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)Jul 26, 2023Sources of Opacity in Computer Systems: Towards a Comprehensive TaxonomyAug 11, 2021On the Relation of Trust and Explainability: Why to Engineer for TrustworthinessAug 5, 2021Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary PerspectivesApr 16, 2025On the Need to Rethink Trust in AI Assistants for Software Development: A Critical ReviewJul 26, 2023Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)Jul 26, 2023A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)Feb 15, 2021What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI ResearchJan 3, 2019Towards a Framework Combining Machine Ethics and Machine ExplainabilityOct 30, 2023Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsFeb 19, 2025"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding MicrochipsJul 4, 2025Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC ResearchFeb 28, 2023Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW)