Jordan Axt

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Cancer treatment and survivorship statistics, 2022

An algorithmic approach to reducing unexplained pain disparities in underserved populations

Structural racism and health inequities in the USA: evidence and interventions

Foundation models for generalist medical artificial intelligence

Structural Racism and Supporting Black Lives — The Role of Health Professionals

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

AI in health and medicine

Does discrimination beat association in the IAT? The discrimination-association model reconceived

Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions

Multimodal biomedical AI

The false hope of current approaches to explainable artificial intelligence in health care

Dissecting racial bias in an algorithm used to manage the health of populations

Measuring individual differences in implicit cognition: The implicit association test.

How Structural Racism Works — Racist Policies as a Root Cause of U.S. Racial Health Inequities

Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms

Artificial Intelligence Regulation: a framework for governance

Engineering Equity: How AI Can Help Reduce the Harm of Implicit Bias

Relationship between the Implicit Association Test and intergroup behavior: A meta-analysis.

A meta-analysis of procedures to change implicit measures.

Simultaneous ingroup and outgroup favoritism in implicit social cognition

Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites