This module provides a definition of what algorithms are and how they are used, particularly within the context of specific policies and policy-related areas. It also invites learners to think about the ways algorithms are being integrated into their own area of focus.

This module explains what it means for an algorithm to be biased and discusses potential sources of bias within an algorithm. Learners will also have the opportunity to think through the ways that specific choices about outcomes and measurement often facilitate algorithmic bias.

This module explores the connections between algorithmic bias and other forms of systemic discrimination. Learners will also explore the ways that choices about using algorithms often reflect societal power and inequality.

This final module will highlight specific steps that can help reduce the risk and impact of algorithmic bias on people and communities. Learners will also identify others with whom they can share what they have learned about the ways algorithms may perpetuate and heighten existing disparities.