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

By Kelly M. Hoffman, Sophie Trawalter, Jordan R. Axt, M. N. Oliver. Proceedings of the National Academy of Sciences of the United States of America, 2016

1,975 citations recorded by the source corpus.

Subfields: Psychiatry and Mental health, Public Health, Environmental and Occupational Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e8fc89cef9c78d6171fe7fd33cc76c63749d87ac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Psychiatry and Mental health

1. John V. Guttag
2. Harini Suresh

In Sociology and Political Science

1. John V. Guttag
2. Harini Suresh

Citations in the corpus

• A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2019, background): “For example, there are both gender and racial disparities in diagnoses for conditions involving pain assessment [7, 24].”
• Large language models propagate race-based medicine (2023, result): “Previous research has shown that medical trainees have inaccurate beliefs about differences between Black and white patients, and we presented a selection of these to the models 10 .”