research

AllresearchprOJECTSTALKSadvocacyEXHIBITIONSeducationPRESS
Research

Actionable Auditing: Investigating the Impact of Biased Performance Results of Commercial AI Products

Although algorithmic auditing has emerged as a key strategy to expose systematic biases in software platforms, we struggle to understand the real impact of these audits.

View More
Research

Facial Recognition Technologies in the Wild: A Call for a Federal Office

In Facial Recognition Technologies in the Wild: A Call for a Federal Office, researchers Erik Learned-Miller, Joy Buolamwini, Vicente Ordóñez, and Jamie Morgenstern propose an FDA-inspired model that categorizes facial recognition technologies.

View More
Research

Facial Recognition Technologies: A Primer

Facial Recognition Technologies: A Primer provides a basic introduction to the terminology, applications, and difficulties of evaluating this complex set of technologies.

View More

Join the Algorithmic Justice League in the movement towards equitable and accountable AI.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

@AJLUNITED

FOLLOW US ON SOCIAL
View on twitter
View on TWITTER
View on Instagram
View on instagram
View on instagram
View on twitter