Trusted AI Through Neural Interactive Proofs
A Framework for Secure Collaboration Between Trusted and Untrusted AI Systems
This research introduces a unifying framework for secure interactions between computationally bounded trusted systems and powerful untrusted AI agents.
- Creates a structured approach for trusted verifiers to leverage untrusted but powerful provers
- Generalizes existing interaction protocols into a comprehensive framework
- Establishes protocols for AI systems to safely utilize external capabilities
- Advances techniques for secure AI collaboration without requiring complete trust
This innovation has significant security implications, allowing organizations to deploy AI systems that can safely interact with and leverage external AI capabilities without compromising safety or security requirements.