Timo Speith

42 papers A 4B 1Misc 2Journal 19Unranked 14
YearRankTypeTitle / Venue / Authors
2026 — conf
"Because Microchips are the Future: " Investigating End Users' Information Needs Regarding Microchips.
HICSS
Julian Speith, Steffen Becker, Timo Speith, Markus Weber, Asia Biega, Christof Paar
2026 — ch.
Let's Talk AI with Philosophy and Computer Science Expert Timo Speith.
Let's Talk AI
Timo Speith, Barbara Steffen
2025 J jnl
"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding Microchips.
CoRR
Julian Speith, Steffen Becker, Timo Speith, Markus Weber, Yixin Zou, Asia Biega, Christof Paar
2025 J jnl
Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research.
CoRR
Lorenz Meinen, Astrid Schomäcker, Stefanie Wiedemann, Markus Hartmann, Timo Speith, Lena Kästner, Niklas Kühl, Christian Rückert
2025 — conf
Responsible and Trusted AI: An Interdisciplinary Perspective (2025).
AISoLA
Sophie Kerstan, Kevin Baum, Thorsten Helfer, Markus Langer, Eva Schmidt, Andreas Sesing-Wagenpfeil, Timo Speith
2025 J jnl
Rethinking Trust in AI Assistants for Software Development: A Critical Review.
CoRR
Sebastian Baltes, Timo Speith, Brenda Chiteri, Seyedmoein Mohsenimofidi, Shalini Chakraborty, Daniel Buschek
2025 J jnl
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI).
CoRR
Felix Kares, Timo Speith, Hanwei Zhang, Markus Langer
2024 J jnl
Conceptualizing understanding in explainable artificial intelligence (XAI): an abilities-based approach.
Ethics Inf. Technol.
Timo Speith, Barnaby Crook, Sara Mann, Astrid Schomäcker, Markus Langer
2024 — conf
Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China.
EXTRAAMAS
Timo Speith, Jing Xu
2024 A conf
Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW).
RE
Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar
2024 J jnl
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions.
Inf. Fusion
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
2024 J jnl
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle.
CoRR
Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
2024 — conf
Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle.
EWAF
Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
2024 Misc conf
The X Factor: On the Relationship between User eXperience and eXplainability.
NordiCHI
Hannah Deters, Jakob Droste, Anne Hess, Verena Klös, Kurt Schneider, Timo Speith, Andreas Vogelsang
2024 A conf
Unlocking the Potential of Machine Ethics with Explainability.
AAMAS
Timo Speith
2023 — conf
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI).
REW
Timo Speith, Markus Langer
2023 J jnl
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI).
CoRR
Timo Speith, Markus Langer
2023 — —
Building bridges for better machines: from machine ethics to machine explainability and back.
Timo Speith
2023 J jnl
Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware.
CoRR
Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar
2023 J jnl
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.
CoRR
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
2023 — conf
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI).
REW
Barnaby Crook, Maximilian Schlüter, Timo Speith
2023 J jnl
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI).
CoRR
Barnaby Crook, Maximilian Schlüter, Timo Speith
2023 — conf
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy.
REW
Sara Mann, Barnaby Crook, Lena Kästner, Astrid Schomäcker, Timo Speith
2023 J jnl
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy.
CoRR
Sara Mann, Barnaby Crook, Lena Kästner, Astrid Schomäcker, Timo Speith
2023 — conf
Welcome to the Third International Workshop on Requirements Engineering for Explainable Systems (RE4ES).
REW
Jakob Droste, Verena Klös, Mersedeh Sadeghi, Maike Schwarnmberger, Timo Speith
2022 — conf
A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods.
FAccT
Timo Speith
2022 J jnl
Explainable software systems: from requirements analysis to system evaluation.
Requir. Eng.
Larissa Chazette, Wasja Brunotte, Timo Speith
2022 — conf
How to Evaluate Explainability? - A Case for Three Criteria.
RE Workshops
Timo Speith
2022 J jnl
How to Evaluate Explainability? - A Case for Three Criteria.
CoRR
Timo Speith
2022 B conf
Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering.
REFSQ
Wasja Brunotte, Larissa Chazette, Verena Klös, Timo Speith
2021 — conf
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives.
RE Workshops
Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl
2021 J jnl
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives.
CoRR
Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl
2021 A conf
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue.
RE
Larissa Chazette, Wasja Brunotte, Timo Speith
2021 J jnl
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue.
CoRR
Larissa Chazette, Wasja Brunotte, Timo Speith
2021 — conf
On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness.
RE Workshops
Lena Kästner, Markus Langer, Veronika Lazar, Astrid Schomäcker, Timo Speith, Sarah Sterz
2021 J jnl
On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness.
CoRR
Lena Kästner, Markus Langer, Veronika Lazar, Astrid Schomäcker, Timo Speith, Sarah Sterz
2021 — conf
Welcome to the First International Workshop on Requirements Engineering for Explainable Systems (RE4ES).
RE Workshops
Wasja Brunotte, Larissa Chazette, Verena Klös, Eric Knauss, Timo Speith, Andreas Vogelsang
2021 J jnl
What Do We Want From Explainable Artificial Intelligence (XAI)? - A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research.
CoRR
Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum
2021 J jnl
What do we want from Explainable Artificial Intelligence (XAI)? - A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research.
Artif. Intell.
Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum
2019 A conf
Explainability as a Non-Functional Requirement.
RE
Maximilian A. Köhl, Kevin Baum, Markus Langer, Daniel Oster, Timo Speith, Dimitri Bohlender
2018 Misc conf
From Machine Ethics To Machine Explainability and Back.
ISAIM
Kevin Baum, Holger Hermanns, Timo Speith
2018 — conf
Towards a Framework Combining Machine Ethics and Machine Explainability.
CREST
Kevin Baum, Holger Hermanns, Timo Speith