Google 提出 AI 设计蛋白质的水印方案
Google figures out how to watermark AI-designed proteins
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.
基于人工智能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风险。然而，在生物安全领域，我们似乎占据先机。
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.
与大多数生物事物一样，其效用与威胁并存。我们已开发出日益精密的蛋白质设计工具，并取得了显著成果，例如由AI设计的可降解塑料或阻断病毒蛋白毒素的酶。但这些相同工具也可能被用于制造毒素或改变病毒蛋白的行为。
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.
而我们用于识别编码潜在威胁性蛋白质的DNA序列的软件，无法筛选出AI设计的蛋白质，因为目前尚无足够研究对其特性进行表征以确认其威胁性。自该风险被提出近一年后，仍不清楚各方应采取何种应对措施。
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