AI Governance Engineer
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Algorithmic disgorgement

By Updated

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
ch. 05, Pattern: Training-Data Rights Ledger
Chapters
ch. 05, Patterns · ch. 20, Existing Law
Source
1 numbered reference, listed below

Where it is used

One chapter of the Body of Knowledge uses the term. Each link opens the first section that does.

  • Claims register

    The record of every public statement about an AI system's accuracy, fairness, safety or capability: the exact wording, where it appears, and the eval run…

  • Rights reservation (TDM opt-out)

    A rightholder's express reservation of text and data mining under Article 4(3) of the DSM Directive, which takes the content out of the general mining…

Sources

  1. [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)

Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .

Cite this term

García Aibar, J. (2026). Algorithmic disgorgement. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/algorithmic-disgorgement. CC BY 4.0

BibTeX

@misc{aige2026algorithmicdisgorgement,
  author  = {Jorge García Aibar},
  title   = {{Algorithmic disgorgement}},
  note    = {Glossary, AI Governance Engineering: The Thesis \& Body of Knowledge, version 0.5.0},
  year    = {2026},
  doi     = {10.5281/zenodo.22956197},
  url     = {https://aigovernanceengineer.com/glossary/algorithmic-disgorgement}
}