Equitable AI is focused on empowering people. Accountable AI is focused on holding creators and sellers of AI responsible for their impacts.
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.
A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric.
Sasha Costanza-Chock explores how community-led design can help dismantle structural inequality and advance collective liberation.
Attendees at the workshop explore identity, gender presentation, face surveillance, and the consequences of algorithmic bias.
Our collective enthusiasm for applying computer technology to every aspect of life has resulted in poorly designed systems.
Safiya Noble raises clear alarms about the ways Google shapes our lives, minds, and attitudes.
The Algorithmic Justice League commends this decision as a first move forward towards company-side responsibility to promote equitable and accountable AI.
Poem by the Poet of Code
Ruha Benjamin cuts through tech-industry hype to understand how new technologies can reinforce White supremacy and deepen social inequity.
Eubanks shows the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.
When Safiya Googled keywords "black girls," "latina girls," and "asian girls," the first page of results were of adult content.
An urgent letter from the Algorithmic Justice League
A powerful investigative look at data-based discrimination―and how technology affects civil and human rights and economic equity.
Data skeptic Cathy O’Neil uncovers the dark secrets of big data, showing how our "objective" algorithms could in fact reinforce human bias.