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Across the Field

Policymakers and advocates need stronger methods to challenge automated decisions.

We seek to lay a strong foundation to challenge automated decisions across our issues. We look for structural opportunities to improve how governments and companies measure racial disparities, and to support advocates by expanding both legal protections and access to the information necessary to produce independent analyses. This work also includes detailed investigations into specific platforms, such as Facebook’s role in driving discrimination using targeted online advertising.

Latest work in this issue area

All work in this issue area
Testimony on the Stop Discrimination by Algorithms Act

We submitted testimony to DC Council on the Stop Discrimination by Algorithms Act of 2021.

Emily Paul, Natasha Duarte, and Urmila Janardan

Imperfect Inferences: A Practical Assessment

Our empirical assessment of racial inference methodologies, using self-reported demographic information from Uber riders.

Aaron Rieke, Mingwei Hsu, Vincent Southerland, and Dan Svirsky

Proposals for the Biden Administration to Address Technology’s Role in Discrimination

We sent a letter urging the White House Office of Science & Technology Policy to fully incorporate the Biden administration’s commitment to racial equity into its AI and technology priorities.

Harlan Yu, Aaron Rieke, and Natasha Duarte

Comments on OSTP's Biometrics Technologies RFI

We submitted comments in response to the Office of Science and Technology Policy’s request for information on public and private sector uses of biometric technologies.

Emily Paul and Harlan Yu

Selected press and events

WIRED Facebook’s Ad System Might Be Hard-Coded for Discrimination

WIRED covers Upturn’s research on how Facebook’s ad delivery system may perpetuate bias.

The Verge Facebook’s ad delivery could be inherently discriminatory, researchers say

Coverage from The Verge on Upturn’s research into how Facebook’s ad system can skew delivery outcomes.

Economist Facebook’s ad system seems to discriminate by race and gender

The Economist covers Upturn’s research on Facebook’s seemingly discriminatory ad system.

Reuters Facebook's ads system leans on stereotypes for housing, job ads: study

“Facebook’s algorithms, which match marketing messages with viewers, leans on stereotypes when it comes to housing and jobs, according to [Upturn’s empirical work].”