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Timo Speith

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Books and Theses

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2023
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Timo Speith:
Building bridges for better machines: from machine ethics to machine explainability and back. Saarland University, Saarbrücken, Germany, 2023

Journal Articles

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2024
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Timo Speith, Barnaby Crook, Sara Mann, Astrid Schomäcker, Markus Langer:
Conceptualizing understanding in explainable artificial intelligence (XAI): an abilities-based approach. Ethics Inf. Technol. 26(2): 40 (2024)
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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:
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106: 102301 (2024)
2022
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Larissa Chazette, Wasja Brunotte, Timo Speith:
Explainable software systems: from requirements analysis to system evaluation. Requir. Eng. 27(4): 457-487 (2022)
2021
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Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum:
What do we want from Explainable Artificial Intelligence (XAI)? - A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artif. Intell. 296: 103473 (2021)

Conference and Workshop Papers

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2024
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Timo Speith:
Unlocking the Potential of Machine Ethics with Explainability. AAMAS 2024: 2477-2479
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Timo Speith, Jing Xu:
Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China. EXTRAAMAS 2024: 205-223
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Hannah Deters, Jakob Droste, Anne Hess, Verena Klös, Kurt Schneider, Timo Speith, Andreas Vogelsang:
The X Factor: On the Relationship between User eXperience and eXplainability. NordiCHI 2024: 19:1-19:12
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Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar:
Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW). RE 2024: 354-362
2023
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Jakob Droste, Verena Klös, Mersedeh Sadeghi, Maike Schwarnmberger, Timo Speith:
Welcome to the Third International Workshop on Requirements Engineering for Explainable Systems (RE4ES). REW 2023: 307-308
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Barnaby Crook, Maximilian Schlüter, Timo Speith:
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI). REW 2023: 316-324
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Timo Speith, Markus Langer:
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI). REW 2023: 325-331
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Sara Mann, Barnaby Crook, Lena Kästner, Astrid Schomäcker, Timo Speith:
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy. REW 2023: 337-342
2022
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Timo Speith:
A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods. FAccT 2022: 2239-2250
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Timo Speith:
How to Evaluate Explainability? - A Case for Three Criteria. RE Workshops 2022: 92-97
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Wasja Brunotte, Larissa Chazette, Verena Klös, Timo Speith:
Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering. REFSQ 2022: 26-32
2021
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Wasja Brunotte, Larissa Chazette, Verena Klös, Eric Knauss, Timo Speith, Andreas Vogelsang:
Welcome to the First International Workshop on Requirements Engineering for Explainable Systems (RE4ES). RE Workshops 2021: 157-158
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Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl:
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. RE Workshops 2021: 164-168
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Lena Kästner, Markus Langer, Veronika Lazar, Astrid Schomäcker, Timo Speith, Sarah Sterz:
On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness. RE Workshops 2021: 169-175
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Larissa Chazette, Wasja Brunotte, Timo Speith:
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. RE 2021: 197-208
2019
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Maximilian A. Köhl, Kevin Baum, Markus Langer, Daniel Oster, Timo Speith, Dimitri Bohlender:
Explainability as a Non-Functional Requirement. RE 2019: 363-368
2018
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Kevin Baum, Holger Hermanns, Timo Speith:
From Machine Ethics To Machine Explainability and Back. ISAIM 2018
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Kevin Baum, Holger Hermanns, Timo Speith:
Towards a Framework Combining Machine Ethics and Machine Explainability. CREST@ETAPS 2018: 34-49

Informal and Other Publications

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2024
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Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl:
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle. CoRR abs/2404.18736 (2024)
2023
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Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar:
Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware. CoRR abs/2302.14661 (2023)
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Sara Mann, Barnaby Crook, Lena Kästner, Astrid Schomäcker, Timo Speith:
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy. CoRR abs/2307.14232 (2023)
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Barnaby Crook, Maximilian Schlüter, Timo Speith:
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI). CoRR abs/2307.14239 (2023)
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Timo Speith, Markus Langer:
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI). CoRR abs/2307.14246 (2023)
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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:
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR abs/2310.19775 (2023)
2022
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  - journals/corr/abs-2209-00366
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Timo Speith:
How to Evaluate Explainability? - A Case for Three Criteria. CoRR abs/2209.00366 (2022)
2021
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Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum:
What Do We Want From Explainable Artificial Intelligence (XAI)? - A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research. CoRR abs/2102.07817 (2021)
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Larissa Chazette, Wasja Brunotte, Timo Speith:
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. CoRR abs/2108.03012 (2021)
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Lena Kästner, Markus Langer, Veronika Lazar, Astrid Schomäcker, Timo Speith, Sarah Sterz:
On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness. CoRR abs/2108.05379 (2021)
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Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl:
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. CoRR abs/2108.07711 (2021)

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