Timo Speith

According to our database, Timo Speith authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., June, 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, 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

Inf. Fusion, 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

CoRR, 2024

Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW).

Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar

Proceedings of the 32nd IEEE International Requirements Engineering Conference, 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

Proceedings of the 13th Nordic Conference on Human-Computer Interaction, 2024

Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China.

Timo Speith, Jing Xu

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2024

Unlocking the Potential of Machine Ethics with Explainability.

Timo Speith

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Building bridges for better machines: from machine ethics to machine explainability and back.

Timo Speith

PhD thesis, 2023

Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware.

Timo Speith, Julian Speith, Steffen Becker, Yixin Zou, Asia Biega, Christof Paar

CoRR, 2023

A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI).

Timo Speith, Markus Langer

Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy.

Sara Mann, Barnaby Crook, Lena Kästner, Astrid Schomäcker, Timo Speith

Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Welcome to the Third International Workshop on Requirements Engineering for Explainable Systems (RE4ES).

Jakob Droste, Verena Klös, Mersedeh Sadeghi, Maike Schwarnmberger, Timo Speith

Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI).

Barnaby Crook, Maximilian Schlüter, Timo Speith

Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

2022

Explainable software systems: from requirements analysis to system evaluation.

Larissa Chazette, Wasja Brunotte, Timo Speith

Requir. Eng., 2022

Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering.

Wasja Brunotte, Larissa Chazette, Verena Klös, Timo Speith

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2022

How to Evaluate Explainability? - A Case for Three Criteria.

Timo Speith

Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods.

Timo Speith

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

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

Artif. Intell., 2021

Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives.

Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 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

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue.

Larissa Chazette, Wasja Brunotte, Timo Speith

Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

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

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

2019

Explainability as a Non-Functional Requirement.

Maximilian A. Köhl, Kevin Baum, Markus Langer, Daniel Oster, Timo Speith, Dimitri Bohlender

Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

2018

Towards a Framework Combining Machine Ethics and Machine Explainability.

Kevin Baum, Holger Hermanns, Timo Speith

Proceedings of the Proceedings 3rd Workshop on formal reasoning about Causation, 2018

From Machine Ethics To Machine Explainability and Back.

Kevin Baum, Holger Hermanns, Timo Speith

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018