University of California, Berkeley

Addressing bias in big data and AI for health care: A call for open science

Natalia Norori, Qiyang Hu, Florence M. Aellen et al.

2021 · 736 Zit.

Research Priorities for Robust and Beneficial Artificial Intelligence

Stuart Russell, Daniel Dewey, Max Tegmark

2015 · 622 Zit.

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

Beau Norgeot, Giorgio Quer, Brett K. Beaulieu‐Jones et al.

2020 · 548 Zit.

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Jean Feng, Rachael V. Phillips, Ivana Malenica et al.

2022 · 336 Zit.

Considerations for addressing bias in artificial intelligence for health equity

Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo‐Berríos et al.

2023 · 279 Zit.

How Is ChatGPT’s Behavior Changing Over Time?

Lingjiao Chen, Matei Zaharia, James Zou

2024 · 261 Zit.

In principle obstacles for empathic AI: why we can’t replace human empathy in healthcare

Carlos Montemayor, Jodi Halpern, Abrol Fairweather

2021 · 242 Zit.

Managing extreme AI risks amid rapid progress

Yoshua Bengio, Geoffrey E. Hinton, Andrew Chi-Chih Yao et al.

2024 · 239 Zit.

The Fallacy of AI Functionality

Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz et al.

2022 · 210 Zit.

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.

2022 · 198 Zit.

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support

Anna Kawakami, Venkatesh Sivaraman, Hao-Fei Cheng et al.

2022 · 126 Zit.

The fallacy of inscrutability

Joshua A. Kroll

2018 · 124 Zit.

Evaluating large language models as agents in the clinic

Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz et al.

2024 · 116 Zit.

Integrating Generative AI in Education: How ChatGPT Brings Challenges for Future Learning and Teaching

Yi Wu

2023 · 110 Zit.

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

Hongmei Wang, Lu Wang, Edward H. Lee et al.

2020 · 99 Zit.