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Algorithmic Bias Detection and Mitigation: Best Practices

Metadata

Source Tablepublications
Source ID0KBsprfETn
DescriptionNicol Turner Lee, Paul Resnick, Genie Barton, 2019-05
Source URLwww.brookings.edu/articles/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/
ParentBrookings Institution AI and Emerging Technology Initiative
Children
CreatedMar 23, 2026, 2:43 PM
UpdatedMar 23, 2026, 2:43 PM
SyncedMar 23, 2026, 2:43 PM

Record Data

id0KBsprfETn
entityIdBrookings Institution AI and Emerging Technology Initiative(organization)
entityDisplayName
resourceId
titleAlgorithmic Bias Detection and Mitigation: Best Practices
authorsNicol Turner Lee, Paul Resnick, Genie Barton
urlwww.brookings.edu/articles/algorithmic-bias-detection-and-mitigation-best-practi…
venue
publishedDate2019-05
publicationTypereport
citationCount
isFlagshipYes
abstract
sourcewww.brookings.edu/articles/algorithmic-bias-detection-and-mitigation-best-practi…
notes

Source Check Verdicts

confirmed95% confidence

Last checked: 3/26/2026

The source text confirms all key fields in the record. The title matches (with minor wording variation: 'Best practices and policies to reduce consumer harms' vs 'Best Practices' - the full title in source includes the additional phrase). Authors are confirmed as Nicol Turner Lee, Paul Resnick, and Genie Barton. The publication date is confirmed as May 22, 2019 (matching 2019-05). The URL provided matches the Brookings Institution domain structure for this type of content. The publication type as a report/research article is confirmed by the source header identifying it as 'Research' from Brookings Institution's Governance Studies division.

Debug info

Thing ID: 0KBsprfETn

Source Table: publications

Source ID: 0KBsprfETn