If AI acts as a social force rather than a chemical compound, how can regulators measure and mitigate its systemic influence?
Treating AI like a chemical requires looking for concentration levels and toxicity, but social forces behave differently. They propagate through human networks and feedback loops. Instead of testing for parts-per-million, regulators must monitor cascading failures in interconnected systems. This means shifting focus from static code audits to dynamic monitoring of emergent behaviors in real-time.
Effective oversight requires a