Law Commons^™

Human-Centered Design To Address Biases In Artificial Intelligence, Ellen W. Clayton, You Chen, Laurie L. Novak, Shilo Anders, Bradley Malin

Vanderbilt Law School Faculty Publications

The potential of artificial intelligence (AI) to reduce health care disparities and inequities is recognized, but it can also exacerbate these issues if not implemented in an equitable manner. This perspective identifies potential biases in each stage of the AI life cycle, including data collection, annotation, machine learning model development, evaluation, deployment, operationalization, monitoring, and feedback integration. To mitigate these biases, we suggest involving a diverse group of stakeholders, using human-centered AI principles. Human-centered AI can help ensure that AI systems are designed and used in a way that benefits patients and society, which can reduce health disparities and inequities. …

Concordance Of International Regulation Of Pediatric Health Research, Ellen W. Clayton, Mark A. Rothstein Jd, Et Al.

Vanderbilt Law School Faculty Publications

International, multi-site, pediatric health research has shown great promise by vastly increasing the amount and heterogeneity of biospecimens and clinical records. However, considerable impediments are created by the significant costs and delays associated with obtaining regulatory approval in numerous countries, which is often complicated by varying and sometimes opaque research ethics standards and procedures. Although it is unlikely that the global community could reach consensus on a single set of research ethics policies and procedures, voluntary policy pronouncements by countries agreeing to defer to the approval of research ethics bodies in other countries might be a way forward.

Deference is …