Simone Stumpf

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

2024 · 438 Zit. · Information Fusion

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

2023 · 41 Zit.

Artificial Intelligence Ethics and Trust: From Principles to Practice

2023 · 25 Zit. · IEEE Intelligent Systems

User Characteristics in Explainable AI: The Rabbit Hole of Personalization?

2024 · 23 Zit.

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence

2024 · 15 Zit.

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

2023 · 14 Zit. · arXiv (Cornell University)

Lay User Involvement in Developing Human-centric Responsible AI Systems: When and How?

2024 · 13 Zit. · ACM Journal on Responsible Computing

An Explanatory Model Steering System for Collaboration between Domain Experts and AI

2024 · 8 Zit.

Generative Confidants: How do People Experience Trust in Emotional Support from Generative AI?

2026 · 1 Zit. · SSRN Electronic Journal

MIRAGE: Misleading Impacts Resulting from AI Generated Explanations (Workshop)

2026 · 1 Zit.

EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders

2025 · 1 Zit. · Proceedings of the ACM on Human-Computer Interaction

Empowering Affected Individuals to Shape AI Fairness Assessments: Processes, Criteria, and Tools

2026 · 0 Zit. · Open MIND

Empowering Affected Individuals to Shape AI Fairness Assessments: Processes, Criteria, and Tools

2026 · 0 Zit. · arXiv (Cornell University)

Engineering Responsible AI

2025 · 0 Zit.

Generative Confidants: How do People Experience Trust in Emotional Support from Generative AI?

2026 · 0 Zit. · arXiv (Cornell University)