Join the Algorithmic Justice League in the movement towards equitable and accountable AI.
In today’s world, AI systems are used to decide who gets hired, the quality of medical treatment we receive, and whether we become a suspect in a police investigation. While these tools show great promise, they can also harm vulnerable and marginalized people, and threaten civil rights. Unchecked, unregulated and, at times, unwanted, AI systems can amplify racism, sexism, ableism, and other forms of discrimination.
The Algorithmic Justice League’s mission is to raise awareness about the impacts of AI, equip advocates with empirical research, build the voice and choice of the most impacted communities, and galvanize researchers, policy makers, and industry practitioners to mitigate AI harms and biases. We’re building a movement to shift the AI ecosystem towards equitable and accountable AI.
Learn how the Algorithmic Justice League began in the Coded Bias film. The film highlights the stories of people who have been impacted by harmful technology and shows pioneering women sounding the alarm about the threats artificial intelligence poses to civil rights. The documentary premieres at the Sundance Film Festival in January 2020.Learn more
Become an agent of the Algorithmic Justice League and help us grow the movement towards equitable and accountable AI.
It is also about having agency regarding the processes that govern our lives. As companies, governments, and law enforcement agencies use AI to make decisions about our opportunities and freedoms, we must demand that we are respected as people.
The Safe Face Pledge provides organizations with actionable and measurable steps toward accountable AI. The pledge prohibits the lethal application of facial recognition since developing equitable AI includes halting and preventing its harmful use. When your organization takes the Safe Face Pledge, they commit to:
Show value for human life, dignity, and rights
Address harmful bias
Embed responsibility and accountability into everyday business practices