---
title: "Algorithmic disgorgement"
description: "A remedy that orders deletion of models or algorithms developed with unlawfully obtained data, not only the data itself."
canonical: https://aigovernanceengineer.com/glossary/algorithmic-disgorgement
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-25
---

# Algorithmic disgorgement

A remedy that orders deletion of models or algorithms developed with unlawfully obtained data, not only the data itself [1]. Complying, and proving it, requires lineage from each dataset to every model trained on it.

- Developed in: [ch. 20, Claims substantiation and algorithmic disgorgement](https://aigovernanceengineer.com/bok/existing-law#claims-substantiation-and-algorithmic-disgorgement); [ch. 05, Pattern: Training-Data Rights Ledger](https://aigovernanceengineer.com/patterns/training-data-rights-ledger)
- Chapters: [ch. 05, Patterns](https://aigovernanceengineer.com/bok/patterns) · [ch. 20, Existing Law](https://aigovernanceengineer.com/bok/existing-law)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-algorithmic-disgorgement

## Sources

[1] In the Matter of Everalbum, Inc., Decision and Order ("Affected Work Product": models or algorithms developed with users' biometric information, to be deleted). Federal Trade Commission. 2021-05-07. https://www.ftc.gov/system/files/documents/cases/1923172_-_everalbum_decision_final.pdf (verified: primary)