"AI Blindspot" - from the 2019 MIT/Harvard Assembly Showcase

Dan Taber describes his team's project "AI Blindspot," in this final presentation from the MIT Harvard 2019 Assembly Showcase on June 13, 2019.
AI Blindspot offers a process for preventing, detecting, and mitigating bias in AI systems.
Organizations lack a framework for preventing, detecting, and mitigating bias in AI systems. Audit tools often focus on specific parts of a system rather than the entire AI pipeline, which can lead to unintended consequences. AI Blindspot is a discovery process to help AI developers and teams evaluate and audit how their systems are conceptualized, built, and deployed. We produced a set of printed and digital prompt cards to help teams identify and address potential blindspots.
Learn more about Assembly and how to get involved at bkmla.org/
Learn more about the AI Blindspot project at aiblindspot.media.mit.edu/