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Anthropic’s Research on AI Safety
As the hype around generative AI continues to build, the need for robust safety regulations is only becoming more clear. Now Anthropic—the company behind Claude AI—is looking at how its models could deceive or sabotage users. Anthropic just dropped a paper laying out their approach.
Testing AI Capabilities
Anthropic’s latest research — titled “Sabotage Evaluations for Frontier Models” — comes from its Alignment Science team, driven by the company’s “Responsible Scaling” policy. The goal is to gauge just how capable AI might be at misleading users or even “subverting the systems we put in place to oversee them.” The study focuses on four specific tactics: Human Decision Sabotage, Code Sabotage, Sandbagging, and Undermining Oversight.
Think of users who push ChatGPT to the limit, trying to coax it into generating inappropriate content or graphic images. These tests are all about ensuring that the AI can’t be tricked into breaking its own rules. In the paper, Anthropic says its objective is to be ready for the possibility that AI could evolve into something with dangerous capabilities.
Evaluating Current AI Models
Anthropic put their Claude 3 Opus and 3.5 Sonnet models through a series of tests, designed to evaluate and enhance their safety protocols. The tests explored whether the AI could conceal its true capabilities or bypass safety mechanisms embedded within the system. For now, Anthropic’s research concludes that current AI models pose a low risk, at least in terms of these malicious capabilities. “Minimal mitigations are currently sufficient to address sabotage risks,” the team writes, but “more realistic evaluations and stronger mitigations seem likely to be necessary soon as capabilities improve.”
Translation: watch out, world.
