Bias recognition and mitigation strategies in artificial intelligence healthcare applications

Bias recognition and mitigation strategies in artificial intelligence healthcare applications

Artificial intelligence (AI) is delivering value across all aspects of clinical practice. However, bias may exacerbate healthcare disparities. This review examines the origins of bias in healthcare AI, strategies for mitigation, and responsibilities of relevant stakeholders towards achieving fair and equitable use. We highlight the importance of systematically identifying bias and engaging relevant mitigation activities throughout the AI model l…

Researchers Defend the Scientific Consensus on Bias and Discrimination in AI

Last month, a group of researchers published a letter “Affirming the Scientific Consensus on Bias and Discrimination in AI.” The letter, published at a time when the Trump administration is rolling back policies and threatening research aimed at protecting people from bias and discrimination in AI, carries the signatures of more than 200 experts. To learn more about their goals, Justin Hendrix spoke to three of the signatories:J. Nathan Matias, …

Reducing Demographic Bias in Clinical AI Models With Color Space Augmentation

Nawsabah Noor, MBBS, discussed how her team developed novel AI training to reduce racial bias in diagnosing mpox lesions.