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Towards a Framework Combining Machine Ethics and Machine Explainability.

, , and . CREST@ETAPS, volume 286 of EPTCS, page 34-49. (2018)

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Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy., , , , and . REW, page 337-342. IEEE, (2023)Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue., , and . RE, page 197-208. IEEE, (2021)A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)., and . REW, page 325-331. IEEE, (2023)Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle., , , , , and . CoRR, (2024)Quo Vadis, Explainability?--A Research Roadmap for Explainability Engineering, , , and . International Working Conference on Requirements Engineering: Foundation for Software Quality, page 26--32. Springer, (2022)What Do We Want From Explainable Artificial Intelligence (XAI)? - A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research., , , , , , , and . CoRR, (2021)Building bridges for better machines: from machine ethics to machine explainability and back.. Saarland University, Saarbrücken, Germany, (2023)How to Evaluate Explainability? - A Case for Three Criteria.. RE Workshops, page 92-97. IEEE, (2022)On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness., , , , , and . RE Workshops, page 169-175. IEEE, (2021)Unlocking the Potential of Machine Ethics with Explainability.. AAMAS, page 2477-2479. ACM, (2024)