Timo Speith

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Artificial Intelligence

Evaluation Method

Intelligent Systems

Conceptual Model

Top Venues

Publications

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 (2024)
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) (2024)
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 (2024)
Timo Speith
Unlocking the Potential of Machine Ethics with Explainability. AAMAS (2024)
Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar
Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware. CoRR (2023)
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 (2023)
Sara Mann, Barnaby Crook, Lena Kästner, Astrid Schomäcker, Timo Speith
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy. REW (2023)
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)
Sara Mann, Barnaby Crook, Lena Kästner, Astrid Schomäcker, Timo Speith
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy. CoRR (2023)
Timo Speith, Markus Langer
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI). CoRR (2023)
Barnaby Crook, Maximilian Schlüter, Timo Speith
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI). REW (2023)
Timo Speith, Markus Langer
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI). REW (2023)
Barnaby Crook, Maximilian Schlüter, Timo Speith
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI). CoRR (2023)
Timo Speith
A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods. FAccT (2022)
Wasja Brunotte, Larissa Chazette, Verena Klös, Timo Speith
Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering. REFSQ (2022)
Larissa Chazette, Wasja Brunotte, Timo Speith
Explainable software systems: from requirements analysis to system evaluation. Requir. Eng. 27 (4) (2022)
Timo Speith
How to Evaluate Explainability? - A Case for Three Criteria. CoRR (2022)
Timo Speith
How to Evaluate Explainability? - A Case for Three Criteria. RE Workshops (2022)
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 (2021)
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 (2021)
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 (2021)
Larissa Chazette, Wasja Brunotte, Timo Speith
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. RE (2021)
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)
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)
Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. CoRR (2021)
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)
Larissa Chazette, Wasja Brunotte, Timo Speith
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. CoRR (2021)
Maximilian A. Köhl, Kevin Baum, Markus Langer, Daniel Oster, Timo Speith, Dimitri Bohlender
Explainability as a Non-Functional Requirement. RE (2019)
Kevin Baum, Holger Hermanns, Timo Speith
Towards a Framework Combining Machine Ethics and Machine Explainability. CREST@ETAPS (2018)
Kevin Baum, Holger Hermanns, Timo Speith
From Machine Ethics To Machine Explainability and Back. ISAIM (2018)