Center for Information Technology

Auditing large language models: a three-layered approach

Jakob Mökander, Jonas Schuett, Hannah Rose Kirk et al.

2023 · 159 Zit.

Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry

Ching‐Heng Lin, Kai‐Cheng Hsu, Kory Johnson et al.

2020 · 102 Zit.

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

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

2022 · 90 Zit.

Challenges and best practices in corporate AI governance: Lessons from the biopharmaceutical industry

Jakob Mökander, Margi Sheth, Mimmi Gersbro-Sundler et al.

2022 · 25 Zit.

Association of Internet Researchers (AoIR) Roundtable Summary: Artificial Intelligence and the Good Society Workshop Proceedings

Corinne Cath, Michael Zimmer, Stine Lomborg et al.

2018 · 17 Zit.

Establishing a Validation Infrastructure for Imaging-Based Artificial Intelligence Algorithms Before Clinical Implementation

Ojas A. Ramwala, Kathryn P. Lowry, Nathan Cross et al.

2024 · 12 Zit.

The EU AI Liability Directive: shifting the burden from proof to evidence

Marta Ziosi, Jakob Mökander, Claudio Novelli et al.

2023 · 11 Zit.

The limitations of machine learning models for predicting scientific replicability

Molly J. Crockett, Xuechunzi Bai, Sayash Kapoor et al.

2023 · 8 Zit.

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses

Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai et al.

2025 · 5 Zit.

Advancing science- and evidence-based AI policy

Rishi Bommasani, Sanjeev Arora, Jennifer Chayes et al.

2025 · 4 Zit.

Challenges as a framework for trustworthy AI

Michela Antonelli, Keyvan Farahani, Carole H. Sudre et al.

2025 · 0 Zit.