Working to Address Algorithmic Bias? Don’t Overlook the Role of Demographic Data
Collecting and using demographic data in service of detecting algorithmic bias is a challenge fraught with many legal and ethical implications. How might those concerned about bias within algorithmic models address this?
Type: Website Article
Open Source: Yes
External URL: https://medium.com/@PartnershipAI/working-to-address-algorithmic-bias-dont-overlook-the-role-of-demographic-data-e71c304ee742
SharePoint URL: https://ocaduniversity.sharepoint.com/teams/Team_WeCount/Shared%20Documents/Resources%20and%20Tools/Literature%20(curated)/Working%20to%20Address%20Algorithmic%20Bias%20Don%E2%80%99t%20Overlook%20the%20Role%20of%20Demographic%20Data.pdf
Learn Tags: Bias Design/Methods Ethics Framework
Summary: An exploration of the question: "When and how should demographic data be collected and used in service of algorithmic bias detection and mitigation?" This article shares highlights from the convening conversation and introduces a new PAI research project that explores access to and usage of demographic data as a barrier to detecting bias.