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'Something we've never seen before': The risk of AI bioweapons

ABC News (Business)
1 min read Rewritten in plain language

Artificial intelligenceScience and TechnologyScienceBiotechnologyBiosecurity

Changed after publishing · 1 edit
  • the headline was changed: How seriously should we take biological threats from 'Something we've never seen before': The risk of AI bioweapons

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  • The AI industry is suddenly rife with existential fears, with senior figures claiming it could "kill us all" within a decade.
  • At the same time, biologists are showing AI can help them with useful research – including those employed at Anthropic, who have just announced AI has helped them discover a new class of enzymes they claim "could represent a new gene editing mechanism ".
  • AI program Alphafold, for instance, has been used to predict the shape of proteins for medicinal research, winning its creators the 2024 Nobel Prize in Chemistry.

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The AI industry is suddenly rife with existential fears, with senior figures claiming it could "kill us all" within a decade.

One particular fear is that AI could develop a biological agent, or a bioweapon.

At the same time, biologists are showing AI can help them with useful research – including those employed at Anthropic, who have just announced AI has helped them discover a new class of enzymes they claim "could represent a new gene editing mechanism ".

Labs around the world have had the tools to make biological agents, like viruses, for decades.

Brendan Walker-Munro, a security researcher at Southern Cross University, says AI changes this.

David Heslop, a public health researcher at the University of New South Wales, says the speed of AI progress makes him "very concerned".

An advanced AI model could give a user outside traditional systems the information needed to make a bioweapon.

Equally in Dr Heslop's opinion, an AI tool like a large language model could help a bad actor plan to deploy material, including pre-existing viruses or toxins.

AI could also be used to attack broader public health systems, like hospital infrastructure.

David Kainer, a computational biologist at the University of Queensland, says the same tools applied to plant science could "potentially destroy large amounts of food production".

In 2022, researchers at the Collaborations Pharmaceuticals company showed they could use their company's AI software to make toxins.

AI program Alphafold, for instance, has been used to predict the shape of proteins for medicinal research, winning its creators the 2024 Nobel Prize in Chemistry.

Shortened to 1 minute of reading, this version reads 9.2 on the Niral Score.

You are reading our version, not theirs. This is ABC News (Business)'s report shortened to its most important sentences, in plainer words, with verdicts and loaded words taken out. Plain description stays, and so do adjectives that carry a fact, such as "former" or "federal". The reporting, the facts and the quotations are theirs — quotations are never edited — and the indicators beside it measure this version. Hover or tap Adjectives to see every one left in the text.

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Outlet Niral ScoreAdjectivesSourcingSentimentHappiness
ABC News (Business)as they published this story 14.1 23 49 -0.3 41.2
Mundane Readneutralized from ABC News (Business) 10.8 17 49 -0.3 41.2

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