Why “Machine Unlearning” Misses the Mark for LLMs
The authors argue that calling any LLM data removal “machine unlearning” is misleading, because models cannot erase learned knowledge the way the phrase suggests. They limit “unlearning” to true dataset‑defined deletion and call for new terms—alignment, editing, suppression—for other safety or copyright fixes. Clear terminology will prevent bogus benchmarks and regulatory confusion.