Algorithmic Justice League (AJL)
Founded by Joy Buolamwini, AJL combines art and research to expose racial and gender bias in AI and mobilize advocates, researchers, and industry toward more accountable algorithms.
In plain terms: This organization researches and exposes bias and discrimination in artificial intelligence systems, including automated hiring tools. You can explore educational materials, learn about the social impacts of technology, and report unfair automated practices.
Coach's summary
Start here if you have ever been misjudged by an automated system — including a hiring one.
AJL exposes how automated systems and artificial intelligence create bias in hiring, healthcare, and public surveillance. Visit to review empirical research on algorithmic harms or report discriminatory technology you encounter.
Key programs
#FreedomFlyers Campaign
An initiative educating travelers on their rights to opt out of TSA airport facial recognition technology and collecting public feedback.
Gender Shades
An empirical research project uncovering significant racial, gender, and skin-type bias across commercial artificial intelligence products.
AI Harm Reporting
A reporting channel allowing individuals to share stories and document instances where automated systems caused harm or exhibited bias.
What to look for
- Reporting tools to submit your personal experiences with airport facial scans and discriminatory algorithms.
- The AJL resource library featuring research publications, policy hearings, and educational guides on automated bias.
- Campaign updates and newsletter sign-ups to stay informed on AI accountability efforts.
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