Unfairness By Algorithm: Distilling the Harms of Automated Decision-Making Report & Infographic

In these resources, FPF identifies, articulates, and categorizes the types of harm that may result from automated decision-making. To inform this effort, FPF reviewed leading books, articles, and advocacy pieces on algorithmic discrimination.

The Chart of Potential Harms from Automated Decision-Making

This chart groups the harms identified in the literature into four broad “buckets”—loss of opportunity, economic loss, social detriment, and loss of liberty—to depict the various spheres of life where automated decision-making can cause injury. It also notes whether each harm manifests for individuals or collectives and as illegal or simply unfair.

The Chart of Potential Mitigation Sets

This chart uses FPF’s taxonomy to further categorize harms into groups that are sufficiently similar to each other so that they could be amenable to the same mitigation strategies.