Tag: Multi-Agent AI Risks

Emerging vulnerabilities and threats in artificial intelligence systems based on multiple agents collaborating or competing to achieve complex goals. Includes risks of malicious coordination between agents, unintentional escalation of behaviors, manipulation of inter-agent communications, emergence of harmful strategies, difficulties in distributed auditing, poisoning attacks on consensus protocols, and alignment issues in decentralized architectures.