AIMC Topic: Racism
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AI-generated faces influence gender stereotypes and racial homogenization.
Scientific reports
Apr 25, 2025
Text-to-image generative AI models such as Stable Diffusion are used daily by millions worldwide. However, the extent to which these models exhibit racial and gender stereotypes is not yet fully understood. Here, we document significant biases in Sta...
The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities - a scoping review.
Ethnicity & health
Nov 3, 2024
This scoping review examined racial and ethnic bias in artificial intelligence health algorithms (AIHA), the role of stakeholders in oversight, and the consequences of AIHA for health equity. Using the PRISMA-ScR guidelines, databases were searched b...
AI generates covertly racist decisions about people based on their dialect.
Nature
Aug 28, 2024
Hundreds of millions of people now interact with language models, with uses ranging from help with writing to informing hiring decisions. However, these language models are known to perpetuate systematic racial prejudices, making their judgements bia...
Fairness in Predicting Cancer Mortality Across Racial Subgroups.
JAMA network open
Jul 1, 2024
IMPORTANCE: Machine learning has potential to transform cancer care by helping clinicians prioritize patients for serious illness conversations. However, models need to be evaluated for unequal performance across racial groups (ie, racial bias) so th...
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.
Journal of biomedical informatics
Jun 13, 2024
OBJECTIVE: Existing approaches to fairness evaluation often overlook systematic differences in the social determinants of health, like demographics and socioeconomics, among comparison groups, potentially leading to inaccurate or even contradictory c...
Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.
JMIR public health and surveillance
May 3, 2024
BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has b...
Use of natural language processing to uncover racial bias in obstetrical documentation.
Clinical imaging
Apr 21, 2024
Natural Language Processing (NLP), a form of Artificial Intelligence, allows free-text based clinical documentation to be integrated in ways that facilitate data analysis, data interpretation and formation of individualized medical and obstetrical ca...
Unintentional consequences of artificial intelligence in dermatology for patients with skin of colour.
Clinical and experimental dermatology
May 31, 2021
Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.
International journal of environmental research and public health
Aug 20, 2020
The current study examined the predictive ability of discrimination-related variables, coping mechanisms, and sociodemographic factors on the psychological distress level of Korean immigrants in the U.S. amid the COVID-19 pandemic. Korean immigrants ...
Word embeddings quantify 100 years of gender and ethnic stereotypes.
Proceedings of the National Academy of Sciences of the United States of America
Apr 3, 2018
Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we de...
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