University of Bayreuth

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

Luca Longo, Mario Brčić, Federico Cabitza et al.

2024 · 391 Zit.

Co-Writing with Opinionated Language Models Affects Users’ Views

Maurice Jakesch, Advait Bhat, Daniel Buschek et al.

2023 · 197 Zit.

General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

Christoph Buck, Eileen Doctor, Jasmin Hennrich et al.

2022 · 134 Zit.

The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as Authors

Fiona Draxler, Anna Werner, Florian Lehmann et al.

2023 · 92 Zit.

Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders

Luis Lämmermann, Peter Hofmann, Nils Urbach

2023 · 50 Zit.

A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists

A.H. Mirza, Nawaf Alampara, Sreekanth Kunchapu et al.

2025 · 38 Zit.

AI, Health, and Health Care Today and Tomorrow

Derek C. Angus, Rohan Khera, Tracy A. Lieu et al.

2025 · 38 Zit.

Challenges and recommendations for high quality research using electronic health records

Kate Honeyford, Paul Expert, Estera Mendelsohn et al.

2022 · 35 Zit.

A Critical Survey on Fairness Benefits of Explainable AI

Luca Deck, Jakob Schoeffer, Maria De‐Arteaga et al.

2024 · 30 Zit.

Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives

Menno T Maris, Ayca Koçar, Dick L. Willems et al.

2024 · 22 Zit.

A trust based framework for the envelopment of medical AI

Lena Zuchowski, Matthias Zuchowski, Eckhard Nagel

2024 · 17 Zit.

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

Timo Speith, Markus Langer

2023 · 16 Zit.

Healthcare professionals’ perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels

Dennis Henzler, Sebastian Schmidt, Ayca Koçar et al.

2025 · 16 Zit.

Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study

Jasmin Hennrich, E. Ritz, Peter Hofmann et al.

2024 · 15 Zit.

Innovating with Artificial Intelligence: Capturing the Constructive Functional Capabilities of Deep Generative Learning

Peter Hofmann, Timon Rückel, Nils Urbach

2021 · 13 Zit.