Follow the Data! Algorithmic Transparency Starts with Data Transparency
Enacting algorithmic and data transparency will require a significant shift in culture on the part of relevant agencies.
Big ideas, bold solutions. Explore the latest research, analysis, and policy insights from our experts.聽聽
Enacting algorithmic and data transparency will require a significant shift in culture on the part of relevant agencies.
We need to be aware of the assumptions, biases, and background considerations that invisibly power our technologies.
Algorithms used by the Federal Housing Authority to grant or deny federally insured mortgages relied on significantly biased variables.
AI marketing technologies would be troubling even if they just stayed in the advertising and selling domains.
Building networks of those fighting common problems can help advocates amplify their stories.
One of the most consequential鈥攁nd controversial鈥攗se of algorithms is in the criminal justice system.
Ultimately, it may be undesirable to regulate targeting on a global basis for all ads.
AI is not, and will not be, perfect.
鈥淲e have someone we are trying to keep off the map.鈥