Industry Self-Regulation
Overview
Section titled “Overview”In the absence of comprehensive regulation, AI labs have developed their own governance frameworks. These include responsible scaling policies (RSPs), voluntary commitments, and industry standards.
Key Frameworks
Section titled “Key Frameworks”Responsible Scaling Policies
Section titled “Responsible Scaling Policies”Labs with public RSPs include:
- Anthropic — First to publish RSP framework
- OpenAI — Preparedness Framework
- DeepMind — Frontier Safety Framework
Voluntary Commitments
Section titled “Voluntary Commitments”Major industry commitments include:
- White House Voluntary Commitments (July 2023) — 15+ labs
- Frontier Model Forum — Industry coordination body
- Partnership on AI — Multi-stakeholder guidelines
Evaluation
Section titled “Evaluation”| Strength | Weakness |
|---|---|
| Faster than legislation | No enforcement mechanism |
| Technically informed | May be weakened under competitive pressure |
| Adaptable | Potential for “ethics washing” |
| Demonstrates good faith | Doesn’t cover all actors |
Key Questions
Section titled “Key Questions”- Can self-regulation be trusted without external oversight?
- How do RSPs interact with regulation?
- What happens when competitive pressure increases?