Glossary
Updated
Pioneered by the US FTC, this death penalty for algorithms goes beyond simple fines. It forces organizations to destroy the weights and parameters of models if the underlying training data violated privacy or consumer protection laws. This makes data provenance an existential risk for AI development, as years of R&D can be erased by a single enforcement action.
Example
In the Rite Aid settlement, the FTC required the pharmacy chain to delete any facial recognition models derived from customer images that were collected without adequate notice or bias testing.