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ZDNET's key takeaways
Novel AI risks emerge when agents interact.
Risks reflect fundamental flaws in the design of agentic software.
Responsibility lies with developers to address fundamental flaws.
An increasing body of work points to the risks of agentic AI, such as a recent report by MIT and collaborators that documented a lack of oversight, measurement, and control for agents.
However, what happens when one AI agent meets another? Evidence suggests things can turn even worse, according to a report published this week by scholars at Stanford University, Northwestern, Harvard, Carnegie Mellon, and several other institutions.
Also: Why enterprise AI agents could become the ultimate insider threat
The result of agent-to-agent interaction was the destruction of server computers, denial-of-service attacks, vast over-consumption of computing resources, and the "systematic escalation of minor errors into catastrophic system failures."
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