Algorithmic Bias

At the core of the algorithmic bias critique is whether those who have the power to create, enable, and disseminate such systems do so equitably. Research suggests that it is far from the case. To better understand the impact of this challenge, Aspen Digital and the Mastercard Center for Inclusive Growth have launched Data Stewardship for Good to answer, “How can data and algorithmic operators recast our own models to forecast a different future, one that centers on the needs of the most vulnerable people?” The result is an articulation of a Digital Bill of Rights in support of low-income, historically excluded communities that may be impacted by such automated systems.

The entities and institutions that gather and sell personal data hold the primary obligations to keep that data secure, use it fairly, and address any inequities. To better understand the impact of algorithmic bias, Aspen Digital has launched Data Stewardship for Good.