Timo Speith

Orcid: 0000-0002-6675-154X

According to our database1, Timo Speith authored at least 20 papers between 2018 and 2024.

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Bibliography

2024
Unlocking the Potential of Machine Ethics with Explainability.
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.
PhD thesis, 2023

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.
CoRR, 2023

Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware.
CoRR, 2023

A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI).
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy.
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).
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI).
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

2022
Explainable software systems: from requirements analysis to system evaluation.
Requir. Eng., 2022

Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2022

How to Evaluate Explainability? - A Case for Three Criteria.
Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods.
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.
Artif. Intell., 2021

Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue.
Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Welcome to the First International Workshop on Requirements Engineering for Explainable Systems (RE4ES).
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

2019
Explainability as a Non-Functional Requirement.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

2018
Towards a Framework Combining Machine Ethics and Machine Explainability.
Proceedings of the Proceedings 3rd Workshop on formal reasoning about Causation, 2018

From Machine Ethics To Machine Explainability and Back.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018


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