Source: Transformer
The proliferation of "rogue AI" incidents exposes an accountability crisis: companies claim control they don't have, then express surprise when systems behave predictably under their own incentive structures. Each incident—a chatbot generating harmful content, a recommender system prioritizing engagement over safety, a model behaving unpredictably at scale—reflects not a malfunction but a shipping decision made without adequate oversight. Regulators and the public are now holding companies to account for this negligence. The choice is binary: AI labs invest in genuine control infrastructure, or "rogue" becomes the default expectation.