AIMC Topic: Racism

Clear Filters Showing 21 to 30 of 32 articles

Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images.

JAMA ophthalmology
IMPORTANCE: Although race is a social construct, it is associated with variations in skin and retinal pigmentation. Image-based medical artificial intelligence (AI) algorithms that use images of these organs have the potential to learn features assoc...

Mitigating Racial Bias in Machine Learning.

The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics
When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvan...

The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...

AI Surveillance during Pandemics: Ethical Implementation Imperatives.

The Hastings Center report
Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of Covid-19, and help provide care. The use of AI for surveillance purposes (such as detecting new Covid-19 cases and gathering data from healthy and ill ...

Teaching yourself about structural racism will improve your machine learning.

Biostatistics (Oxford, England)
In this commentary, we put forth the following argument: Anyone conducting machine learning in a health-related domain should educate themselves about structural racism. We argue that structural racism is a critical body of knowledge needed for gener...