Shaping Machiavellian Agents: A New Approach to AI Alignment

This research addresses the challenging problem of aligning self-interested AI agents, which is critical for the safe deployment of increasingly sophisticated AI systems. The proposed test-time policy shaping offers a novel method for steering agent behavior without compromising their underlying decision-making processes.

• •Addresses the problem of aligning self-interested AI agents, a key safety concern.
• •Proposes a novel technique called "test-time policy shaping" to guide agent behavior.
• •The research is published on ArXiv, suggesting peer review is not yet complete.