Education

Unmasking AI Action Guide

With our Unmasking AI Action Guide, readers can connect with each step of Dr. Joy’s story and learn how to join the fight for algorithmic justice.

Education

Coded Bias Viewing Guide

When you host your next screening of the Coded Bias documentary, use AJL’s Viewing Guide to learn how you can take action to tackle algorithmic harms.

Education

Unmasking AI

Unmasking AI: My Mission to Protect What is Human in a World of Machines follows the journey of our founder Dr. Joy Buolamwini from eager student to a role model in the movement for algorithmic justice.

Education

What do we mean by equitable and accountable AI?

Equitable AI is focused on empowering people. Accountable AI is focused on holding creators and sellers of AI responsible for their impacts.

Education

Facial Recognition Technology: Definition and Real-Life Applications.

Facial recognition relies on AI to learn the patterns of a human face, and it is a widely used technology by corporations and the government.

Education

Design Justice: Community-Led Practices to Build the Worlds We Need

Sasha Costanza-Chock explores how community-led design can help dismantle structural inequality and advance collective liberation.

Education

Weapons of Math Destruction - New York Times Bestseller

A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric.

Education

The "Drag Vs. AI" Workshop. How does AI read your face?

Attendees at the workshop explore identity, gender presentation, face surveillance, and the consequences of algorithmic bias.

Education

The era of blind faith in big data must end

Data skeptic Cathy O’Neil uncovers the dark secrets of big data, showing how our "objective" algorithms could in fact reinforce human bias.

Education

IBM Leads, More Should Follow: Racial Justice Requires Algorithmic Justice

The Algorithmic Justice League commends this decision as a first move forward towards company-side responsibility to promote equitable and accountable AI.