Machine Learning Models and the Legal Need for Editability: Surveying the Pitfalls (Part II)

In Part I of this series, we discussed the Federal Trade Commission’s (FTC’s) case against Everalbum as just one example where companies may be required to remove data from their machine learning models (or shut down if unable to do so). Following are some additional pitfalls to note.

A. Evolving privacy and data usage restrictions

Legislators at the international, federal, state, and even municipal levels are continually enacting laws to restrict how companies may process data. The consequence is that data which companies had once lawfully obtained may become illegal to process for desired purposes. For example:

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