Kaitlyn Bebbino

Urban Health Today

Although AI can tackle widespread disparities in health care, it could also worsen existing disparities. Racial biases in AI demonstrate how minority groups are underserved by technology, and one of the reasons for these disparities may be as simple as how the data is collected.
Data collection can inadvertently worsen the health inequalities experienced by minority ethnic groups, primarily when data is concentrated in a particular ethnic group. Excluding or overlooking data about a specific ethnic group leads to missed diagnoses. For example, studies have shown that many AI technologies prioritize white patients over other minority groups.
For health care to benefit all ethnic groups, AI technology should be designed with an equitable outcome. Poor data collection in research and development (R&amp;D) leads to a lack of diversity that requires urgent attention to reduce health disparities. In addition, patient and public feedback and input are essential to all critical areas of AI algorithm development. There is also a need for further research and transparency regarding access to the use of AI technology, especially in minority groups, if no one is to be left behind on its benefits.
In addition, there is a need for the government to develop a regulatory framework to ensure algorithms are tested on the appropriate minority ethnic group to reduce bias in data sets. Researchers also proposed legislation and regulation in AI that protect data and citizens’ rights to tackle health disparities and reduce potential bias.
SOURCE: <a href="https://www.openaccessgovernment.org/disparities-against-minority-ethnic-groups/130356/">OPEN ACCESS GOVERNMENT</a>

Although AI can tackle widespread disparities in health care, it could also worsen existing disparities. Racial biases in AI demonstrate how minority groups are underserved by technology, and one of the reasons for these disparities may be as simple as how the data is collected.Data collection can inadvertently worsen the health inequalities experienced by minority ethnic groups, primarily when data is concentrated in a particular ethnic group. Excluding or overlooking data about a specific ethnic group leads to missed diagnoses. For example, studies have shown that many AI technologies prioritize white patients over other minority groups.For health care to benefit all ethnic groups, AI technology should be designed with an equitable outcome. Poor data collection in research and development (R&amp;D) leads to a lack of diversity that requires urgent attention to reduce health disparities. In addition, patient and public feedback and input are essential to all critical areas of AI algorithm development. There is also a need for further research and transparency regarding access to the use of AI technology, especially in minority groups, if no one is to be left behind on its benefits.In addition, there is a need for the government to develop a regulatory framework to ensure algorithms are tested on the appropriate minority ethnic group to reduce bias in data sets. Researchers also proposed legislation and regulation in AI that protect data and citizens’ rights to tackle health disparities and reduce potential bias.SOURCE: <a href="https://www.openaccessgovernment.org/disparities-against-minority-ethnic-groups/130356/">OPEN ACCESS GOVERNMENT</a>

Rebecca Araujo

Language Spoken at Home Associated With Diabetes Guideline Adherence

Diabetes

Lou Portero

Gene Therapy Restores Hearing in Children and Young Adults with Inherited Deafness

Public Health

New Heart Risk Calculator Shows Promise Across Diverse Asian and Hispanic Populations

Heart Health

Latest News

AI May Exacerbate Existing Health Inequities in Minority Ethnic Groups

AI in Medicine

Artificial intelligence can further worsen health disparities amongst minority groups due to lack of variety within data collection.

About Us

Editorial Policy

Contributors & Partners

Contact Us

eNewsletters

Work With Us

Advertising

Career Center

GU Oncology Now

Blood Cancers Today

Cancer Nursing Today

DocWire News

MashupMD

Food Allergy Roundtable Discussions

Allergy

Blood Cancers

— Multiple Myeloma

Breast Cancer

Colorectal Cancer

Pancreatic Cancer

Prostate Cancer

Cancer

Gastroenterology

Heart Failure

Heart Disease Prevention

— Alzheimer’s Disease

Neurology

Autoimmune Disease

Infectious Diseases

Obesity

Pediatrics

Sickle Cell Disease

Digital Health

Dermatology

Pulmonology

Video Insights

Workforce News

More

Gynecologic Cancer

Heart Disease in Women

Menopause

Reproductive Health

Women’s Neurology

Well Woman Today

Roundtables

Podcasts

Conferences

Viewpoints

Subscribe