Technische Hochschule Ingolstadt

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI

Upol Ehsan, Philipp Wintersberger, Q. Vera Liao et al.

2022 · 99 Zit.

The dominant logic of Big Tech in healthcare and pharma

Alexander Schuhmacher, Naomi Haefner, Katharina Honsberg et al.

2022 · 28 Zit.

Human-Centered Explainable AI (HCXAI): Coming of Age

Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins et al.

2023 · 23 Zit.

Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study

Haridimos Kondylakis, Cristian Axenie, Dhundy Bastola et al.

2020 · 21 Zit.

Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs)

Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger et al.

2024 · 17 Zit.

"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology

Emely Rosbach, Jonas Ammeling, Sebastian Krügel et al.

2025 · 12 Zit.

An interdisciplinary perspective on AI-supported decision making in medicine

Jonas Ammeling, Marc Aubreville, Alexis Fritz et al.

2024 · 11 Zit.

Perceived responsibility in AI-supported medicine

Sebastian Krügel, Jonas Ammeling, Marc Aubreville et al.

2024 · 8 Zit.

Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology

Emely Rosbach, Jonathan Ganz, Jonas Ammeling et al.

2025 · 7 Zit.

Prediction of tumor board procedural recommendations using large language models

Marc Aubreville, Jonathan Ganz, Jonas Ammeling et al.

2024 · 6 Zit.

New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits

Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger et al.

2025 · 4 Zit.

Abstract: When Two Wrongs Don’t Make a Right

Emely Rosbach, Jonas Ammeling, Christof Bertram et al.

2026 · 1 Zit.

An Interdisciplinary Perspective on Ai-Supported Decision Making in Medicine

Jonas Ammeling, Marc Aubreville, Alexis Fritz et al.

2024 · 1 Zit.

Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making

Jonas Ammeling, Carina Manger, Elias Kwaka et al.

2023 · 1 Zit.

Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology

Emely Rosbach, Jonas Ammeling, Jonathan Ganz et al.

2026 · 0 Zit.