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AI development’s speed stretches risk assessments to breaking point
AI的快速发展令风险评估方法到达极限

Artificial intelligence’s complexity exposes flaws in traditional methods used to evaluate its safety and accuracy
人工智能的复杂性暴露了用于评估其安全性和准确性的传统方法的缺陷。
Google, Anthropic, Cohere and Mistral have each released AI models over the past two months as they seek to unseat OpenAI from the top of public rankings

The increasing power of the latest artificial intelligence systems is stretching traditional evaluation methods to breaking point, posing a challenge to businesses and public bodies over how best to work with the fast-evolving technology.

最新人工智能系统日益增大的能力,正将传统的评估方法推向极限,这给企业和公共机构如何更好地与这项快速发展的技术合作带来了挑战。

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