基于 AI 的工具似乎几乎每天都在引发安全威胁，部分原因在于我们未能及时识别潜在威胁。然而，在生物安全领域，我们似乎暂时领先了一步。
AI-based tools seem to be causing security threats on a nearly daily basis, in part because we've been slow to recognize potential threats. One area where we seem to be ahead of the game, however, is in biosecurity.
与大多数生物技术一样，其用途与风险往往并存。我们开发了日益精密的蛋白质设计工具，并取得了一些重要成果，例如能够分解塑料或阻断毒液蛋白质的 AI 设计酶。但这些工具同样可能被用于制造毒素，或改变病毒蛋白的行为。
As with most things biological, utility goes hand in hand with threats. We've developed increasingly sophisticated tools for designing proteins and seen some major successes, such as AI-designed enzymes that can digest plastics or block venom proteins. But these same tools could be used to make toxins or alter the behavior of viral proteins.
此外，我们用于识别编码潜在威胁蛋白质的 DNA 序列的软件，无法识别 AI 设计的蛋白质，因为还没有人对其特征进行充分研究，以确定它们是否构成威胁。就在这一风险被提出近一年后，人们仍不清楚该如何应对。
And the software we use to identify DNA sequences that encode potentially threatening proteins doesn't pick out AI-designed proteins, since nobody has characterized them well enough to know that they're threats. Nearly a year after that risk was flagged, it still wasn't clear what anyone could do about it.