Testing AI Models for Danger Might Be Relying Too Heavily on Safety Tests That Don’t Yet Exist

The article discusses the challenges of safety-testing Artificial Intelligence (AI). It highlights the work of Beth Barnes, founder and CEO of Model Evaluation and Threat Research (METR), a non-profit organization dedicated to AI safety. METR collaborates with leading AI companies like OpenAI and Anthropic to safety-test their AI models. The team at METR spends their time probing the latest and most powerful AI systems to determine their potential dangers. However, Barnes expresses concern that the current plan of testing AI models for danger might be relying too heavily on safety tests that don’t yet exist. The article emphasizes the need for effective safety measures in AI, given the potential risks associated with powerful AI systems.