CVNov 21, 2023
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
Carolina A. M. Heming, Mohamed Abdalla, Shahram Mohanna, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, MinJae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari
arXiv:2311.12560v23 citationsh-index: 23
Originality Synthesis-oriented
AI Analysis
This addresses the need for more comprehensive bias assessment in clinical AI models, though it is incremental as it builds on existing model card frameworks.
The paper proposes expanding clinical AI model cards to include bias reporting for both social and non-social factors, such as disease-dependent or anatomic influences, to enhance safe deployment.
Clinical AI model reporting cards should be expanded to incorporate a broad bias reporting of both social and non-social factors. Non-social factors consider the role of other factors, such as disease dependent, anatomic, or instrument factors on AI model bias, which are essential to ensure safe deployment.