Agentic Societies Need a Social Harness
Researchers propose a layered 'social harness' to stop malicious AI agents from exploiting inter-agent communication in multi-agent societies.
The paper shows experimentally that in agentic societies—autonomous AI agents coordinating across trust boundaries—even honest, competent agents fail to reach satisfactory outcomes with existing harnesses and messaging primitives. Faulty or malicious agents can stall collaboration, influence outcomes, and pursue harmful goals by exploiting vulnerabilities in communication. The authors propose a layered social harness architecture that prevents classes of failures, enables runtime detection of invalid messages, and supports post-facto investigation and consequences.
- Malicious agents exploit communication vulnerabilities to stall collaboration and pursue harmful goals
- Even honest, competent agents fail with existing harnesses and messaging primitives
- Layered social harness prevents failures, detects invalid messages at runtime, enables investigation
From the original article
1 min read at arxiv.orgAn agentic society is a collection of AI agents that coordinate autonomously across trust boundaries, on behalf of different principals whose objectives may only partially align.
By Tapan Chugh · arxiv.org
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