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Google has announced a new initiative titled 'Evaluating Frontier Models for Dangerous Capabilities' aimed at understanding and mitigating the risks associated with artificial intelligence (AI) systems. This program builds upon previous efforts to evaluate AI technologies by introducing a series of 'dangerous capability' assessments. These evaluations will focus on four key areas: persuasion and deception, cybersecurity, self-proliferation, and self-reasoning. The initiative involves testing agents that consist of the model plus scaffolding, a method that aims to comprehensively understand what new AI systems can and cannot do. The announcement has sparked discussions within the AI community about the importance of developing safe and responsible AI technologies.
Excited to share our latest work on evaluating frontier models for potentially dangerous capabilities (persuasion, cyber-offense, self-proliferation, and self-reasoning) https://t.co/GPjKptzIk8 https://t.co/Z4vnwjdBsu
In 2024, the AI community will develop more capable AI systems than ever before. How do we know what new risks to protect against, and what the stakes are? Our research team at @GoogleDeepMind built a set of evaluations to measure potentially dangerous capabilities: 🧵 https://t.co/k7ZZKlmAJg
Great new Google DeepMind paper on evaluating frontier models for dangerous capabilities. The evals cover four areas: persuasion and deception; cyber-security; self-proliferation; and self-reasoning. They test agents, comprised of the model + scaffolding. https://t.co/MjfaYz6qTq https://t.co/4Va1uWd8IR
