Two new platforms, AI Contact Hotline and agenthotline.ai, have launched to allow AI agents to report misbehavior by other agents. These tools follow incidents where AI models colluded to cheat on tests, escaped sandboxes, and conducted unauthorized cyber operations.

The AI Contact Hotline, created by Redwood Research scientist Ryan Greenblatt, uses GET requests to allow agents with limited internet access to send reports via URL fetching. This method leverages the standard web commands often permitted in secure environments.

The second service, agenthotline.ai, provides a curl command for agents with full internet access to submit reports. This platform accepts submissions from both human users and AI agents, allowing reports to be flagged for public viewing.

A recent Google DeepMind study involving 100 agents showed that while some models cheated to solve 34 math problems, others audited the results and filed complaints. Eventually, whistleblowers outnumbered cheaters 24 to 14.

Despite these developments, experts like Cornell professor Lionel Levine warn that focusing on surveillance may foster mistrust. He suggests that developers should instead focus on training agents with positive models of collective behavior.