Elad Hazan proposes AI alignment as economic equilibrium design
Using Gary Becker's rational offender model to rethink AI safety through incentives.
Deep Dive
Elad Hazan's paper 'Alignment as Equilibrium Design' reframes AI alignment from moral philosophy to economics. Inspired by Gary Becker's rational offender model, it treats alignment as designing incentives and penalties to shape model behavior. The proposal includes a multi-agent system where model outputs are audited by other models, with flagged cases resolved through a debate-like process, shifting the focus from internal values to external game structures.
Key Points
- Uses Gary Becker's rational offender model to argue alignment is about incentives, not morality.
- Proposes a multi-agent system where models audit each other with debate-based resolution.
- Paper published on LessWrong and arXiv; shifts focus from defining values to designing equilibrium strategies.
Why It Matters
Reframes AI alignment as an engineering problem of incentive design, avoiding philosophical dead ends.