Towards a Deliberate Practice of Public Interest Tech
The most important thing about designing a network is to be intentional about that design.
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Big ideas, bold solutions. Explore the latest research, analysis, and policy insights from our experts.聽聽
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.
The Moral Gray Space of AI Decisions
We need to be aware of the assumptions, biases, and background considerations that invisibly power our technologies.
The History of U.S. Housing Segregation Points to the Devastating Consequences of Algorithmic Bias
Algorithms used by the Federal Housing Authority to grant or deny federally insured mortgages relied on significantly biased variables.
AI Marketing as a Trojan Horse
AI marketing technologies would be troubling even if they just stayed in the advertising and selling domains.
Learnings from the Survivor Advocate Network workshop
Building networks of those fighting common problems can help advocates amplify their stories.
Designing Equitable Algorithms for Criminal Justice Reform
One of the most consequential鈥攁nd controversial鈥攗se of algorithms is in the criminal justice system.
Algorithmic Bias or Fairness: The Importance of the Economic Context
Ultimately, it may be undesirable to regulate targeting on a global basis for all ads.
Don鈥檛 Believe Every AI You See
AI is not, and will not be, perfect.