Overview
Most proposed algorithmic fairness techniques require access to demographic attribute data. To meet this requirement, there are a growing number of calls for increased collection of demographic data. Through conversations with Partners, we found that the lack of clarity around the acceptable uses for demographic data poses a key barrier to addressing algorithmic bias in practice.
The Demographic Data Workstream seeks to understand what types of data collection practices and governance frameworks are required to ensure that fairness assessments of algorithmic systems are conducted in the public interest.
