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Google DeepMind scientists propose a watermark for AI-designed proteins

News from Science reports that the proposed method subtly shifts amino acid selection probabilities to create a detectable pattern.

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1 Source, 3h ago, first seen 3h ago

TLDR

News from Science reports that Google DeepMind scientists propose marking AI-designed proteins by subtly changing the probabilities used to choose amino acids for their sequences. The resulting pattern is meant to be statistically detectable while preserving the proteins’ structure and function. The proposal is a partial response to concerns that AI could help bad actors create toxins or other harmful agents.

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1 Source, first seen 3h ago

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Combined views

2.5K

1 Source, first seen 3h ago

1 likes1 saves
Method to ‘watermark’ AI-designed proteins could deter bioweapons, protect scientific credit

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1 Source

@NewsfromScienceDesigning novel proteins isn’t the slog it used to be. The rise of AI in biomedicine has made it substantially easier to create original sequences of amino acids that fold into functional proteins—prompting fears bad actors could exploit the technology to make new toxins or other harmful agents. Now, scientists with @GoogleDeepMind propose a partial solution. They describe a way to denote a protein’s AI origin by subtly altering the probability of amino acids chosen for its sequence. The resulting pattern acts as a statistically detectable stamp, or watermark, while preserving the protein’s structure and function. Learn more: https://scim.ag/4rItBj93h
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    1 Source

    @NewsfromScienceDesigning novel proteins isn’t the slog it used to be. The rise of AI in biomedicine has made it substantially easier to create original sequences of amino acids that fold into functional proteins—prompting fears bad actors could exploit the technology to make new toxins or other harmful agents. Now, scientists with @GoogleDeepMind propose a partial solution. They describe a way to denote a protein’s AI origin by subtly altering the probability of amino acids chosen for its sequence. The resulting pattern acts as a statistically detectable stamp, or watermark, while preserving the protein’s structure and function. Learn more: https://scim.ag/4rItBj93h
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