From Machine Ethics To Machine Explainability and Back. - Kevin Baum 001; Holger Hermanns; Timo Speith (ISAIM, 2018)

Towards a Framework Combining Machine Ethics and Machine Explainability. - Kevin Baum 001; Holger Hermanns; Timo Speith (CREST@ETAPS, 2018)

Explainability as a Non-Functional Requirement. - Maximilian A. Köhl; Kevin Baum 001; Markus Langer; Daniel Oster; Timo Speith; Dimitri Bohlender (RE, 2019)

Welcome to the First International Workshop on Requirements Engineering for Explainable Systems (RE4ES). - Wasja Brunotte; Larissa Chazette; Verena Klös; Eric Knauss; Timo Speith; Andreas Vogelsang (RE Workshops, 2021)

Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. - Larissa Chazette; Wasja Brunotte; Timo Speith (RE, 2021)

On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness. - Lena Kästner; Markus Langer; Veronika Lazar; Astrid Schomäcker; Timo Speith; Sarah Sterz (RE Workshops, 2021)

Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. - Markus Langer; Kevin Baum 001; Kathrin Hartmann; Stefan Hessel; Timo Speith; Jonas Wahl (RE Workshops, 2021)

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; Holger Hermanns; Lena Kästner; Eva Schmidt; Andreas Sesing; Kevin Baum 001 (Artif. Intell., 2021)

A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods. - Timo Speith (FAccT, 2022)

How to Evaluate Explainability? - A Case for Three Criteria. - Timo Speith (RE Workshops, 2022)

Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering. - Wasja Brunotte; Larissa Chazette; Verena Klös; Timo Speith (REFSQ, 2022)

Explainable software systems: from requirements analysis to system evaluation. - Larissa Chazette; Wasja Brunotte; Timo Speith (Requir. Eng., 2022)

Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI). - Barnaby Crook; Maximilian Schlüter; Timo Speith (REW, 2023)

Welcome to the Third International Workshop on Requirements Engineering for Explainable Systems (RE4ES). - Jakob Droste; Verena Klös; Mersedeh Sadeghi; Maike Schwarnmberger; Timo Speith (REW, 2023)

Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy. - Sara Mann; Barnaby Crook; Lena Kästner; Astrid Schomäcker; Timo Speith (REW, 2023)

A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI). - Timo Speith; Markus Langer (REW, 2023)

Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware. - Timo Speith; Julian Speith; Steffen Becker 003; Yixin Zou; Asia Biega; Christof Paar (CoRR, 2023)

Building bridges for better machines: from machine ethics to machine explainability and back. - Timo Speith (2023)

Unlocking the Potential of Machine Ethics with Explainability. - Timo Speith (AAMAS, 2024)

Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle. - Luca Deck; Astrid Schomäcker; Timo Speith; Jakob Schöffer; Lena Kästner; Niklas Kühl 001 (EWAF, 2024)

Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China. - Timo Speith; Jing Xu (EXTRAAMAS, 2024)

The X Factor: On the Relationship between User eXperience and eXplainability. - Hannah Deters; Jakob Droste; Anne Hess; Verena Klös; Kurt Schneider; Timo Speith; Andreas Vogelsang (NordiCHI, 2024)

Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW). - Timo Speith; Julian Speith; Steffen Becker 003; Yixin Zou; Asia Biega; Christof Paar (RE, 2024)

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. - Luca Longo; Mario Brcic; Federico Cabitza; Jaesik Choi; Roberto Confalonieri 001; Javier Del Ser; Riccardo Guidotti; Yoichi Hayashi; Francisco Herrera; Andreas Holzinger; Richard Jiang 001; Hassan Khosravi; et al. (Inf. Fusion, 2024)

Conceptualizing understanding in explainable artificial intelligence (XAI): an abilities-based approach. - Timo Speith; Barnaby Crook; Sara Mann; Astrid Schomäcker; Markus Langer (Ethics Inf. Technol., 2024)

"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding Microchips. - Julian Speith; Steffen Becker 003; Timo Speith; Markus Weber; Yixin Zou; Asia Biega; Christof Paar (CoRR, 2025)

Rethinking Trust in AI Assistants for Software Development: A Critical Review. - Sebastian Baltes; Timo Speith; Brenda Chiteri; Seyedmoein Mohsenimofidi; Shalini Chakraborty; Daniel Buschek (CoRR, 2025)

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI). - Felix Kares; Timo Speith; Hanwei Zhang; Markus Langer (CoRR, 2025)

Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research. - Lorenz Meinen; Astrid Schomäcker; Stefanie Wiedemann; Markus Hartmann; Timo Speith; Lena Kästner; Niklas Kühl 001; Christian Rückert (CoRR, 2025)