Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors

2023/11/21 by Heming, Carolina A. M., Abdalla, Mohamed, Mohanna, Shahram +8 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.2311.12560

Abstract

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.

Cited by

• Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI

Related

• Bias – The Achilles Heel of Artificial Intelligence in Healthcare
• Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
• Artificial intelligence, bias and clinical safety
• Are Bias Evaluation Methods Biased ?
• Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models