How seriously should we take biological threats from AI?

Read the original at ABC News (AU) ↗
ABC News (AU) · collected 2026-09-27 · by Ellen Phiddian

Quick Summary

Senior figures in the AI industry are raising concerns about potential biological threats from advanced artificial intelligence, with some calling for a slowdown in development to prevent AI from outpacing human control. Dario Amodei, CEO of Anthropic, warns that AI could facilitate the creation and deployment of dangerous biological agents or bioweapons by reducing knowledge barriers and accelerating scientific progress beyond human oversight capabilities. Security experts like Brendan Walker-Munro and public health researcher David Heslop express concern over how quickly AI tools could provide information enabling bad actors to plan and execute attacks, including on public health systems and food production infrastructure.
Written locally by qwen2.5:14b on 2026-09-27, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

The AI industry is facing growing concerns about potential existential risks posed by advanced technologies. Dario Amodei, CEO of Anthropic, one of the world’s largest AI companies, has called for a “slowdown” in AI development to prevent it from outpacing our ability to control its effects. One major fear is that AI could facilitate the creation of dangerous biological agents or bioweapons. Despite these risks, AI is also proving beneficial in scientific research, such as helping Anthropic researchers discover new enzymes with potential gene-editing capabilities.

Brendan Walker-Munro from Southern Cross University warns that AI lowers the knowledge barriers for creating dangerous biological tools, which were previously accessible only to highly qualified scientists. This shift means that fewer technical qualifications are needed to develop harmful biological agents, increasing the threat of misuse.

Written for “AI and Biological Threats” on 2026-10-05, grounded in this article and the 0 other(s) covering the same event.

Signals How these are calculated →

Claims extracted
51
claim-shaped sentences
Uncertain
37%
19 of 51 hedged
Leaning
not political
takes no side on a contested political question
Correction & hedging signals
60.8
corrections and hedging in what we collected; not a measure of accuracy
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-27 · how these are computed

Story

📰 AI and Biological Threats
Technology · 1 article(s) covering the same event.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

This article reads unscored and hedges 37% of its claims. Each row says how that neighbour differs.
Fox News
⚖️ leaning not scored 🔴 29% hedged 7 of 24 📰 publisher trust 69
“Article A describes Dario Amodei's optimistic prediction about AI curing diseases, while Article B discusses his call for slowing down AI development due to potential dangers.”
New York Post
⚖️ leaning not scored 🔴 0% hedged 0 of 2 📰 publisher trust 64
“The articles discuss related concerns about AI risks but describe different perspectives and warnings from separate figures.”
Daily Mail
⚖️ Leans left 🔴 7% hedged 5 of 70 📰 publisher trust 65
“The articles discuss different aspects and figures related to concerns about AI, but do not describe the same specific incident or occurrence.”
New York Post
⚖️ Leans left 🔴 33% hedged 7 of 21 📰 publisher trust 64
“Article A focuses on Jacob Coxon's public statements and the PR firm's involvement, while Article B discusses broader industry concerns about AI and biological threats.”
National Post
⚖️ leaning not scored 🔴 31% hedged 21 of 68 📰 publisher trust 60
“The articles discuss similar concerns about existential risks from AI but describe different aspects and perspectives on the topic, rather than a single specific incident.”
Los Angeles Times
⚖️ Leans left 🔴 23% hedged 7 of 30 📰 publisher trust 95
“The articles discuss different aspects of Anthropic's concerns and operations with AI, but do not describe the same specific incident or time.”
Toronto Star
⚖️ Leans left 🔴 12% hedged 5 of 43 📰 publisher trust 63
“While both articles discuss concerns about AI safety raised by Anthropic, Article A focuses on political and economic implications, while Article B delves specifically into biological threats from AI.”
Zeteo
⚖️ Leans right 🔴 7% hedged 1 of 14
“The articles discuss different aspects of AI risks and concerns, with Article A focusing on general warnings about AI apocalypse and hype, while Article B specifically addresses biological threats from AI.”
Al Jazeera
⚖️ leaning not scored 🔴 25% hedged 5 of 20 📰 publisher trust 60
“Article A describes the announcement of Claude's discovery, while Article B discusses broader concerns about biological threats from AI and mentions the discovery as an example.”
Global News
⚖️ leaning not scored 🔴 10% hedged 5 of 48 📰 publisher trust 64
“The articles discuss different aspects of AI safety and regulation, with Article A focusing on political goals and financial interests, while Article B focuses on biological threats from AI.”

Publisher

ABC News (AU) · 2026 article(s) · 2 correction(s) detected
Running correction rate · 2 correction(s)
2026-09-15
Canberra man posed as teenage girl to obtain child abuse material
2026-09-07
'Her career's finished': Fugitive Sydney developer's daughter avoids jail

Who wrote this

Ellen Phiddian
2 article(s) here · 1 carrying a prediction
🔮 The AI industry is suddenly rife with existential fears, with senior figures claiming it could "kill us all" within a decade.
🔮 You will come across things that probably have not been observed." The full list of winners and honourable mentions are published on the competition's website.
Also by Ellen Phiddian
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

Anthropic LLM Southern Cross University the University of New South Wales the University of Queensland

Subjects

Anthropic ORG · 6× Heslop PERSON · 3× Brendan Walker-Munro PERSON · 1× Dario Amodei PERSON · 1× David Heslop PERSON · 1× David Kainer PERSON · 1× LLM ORG · 1× Southern Cross University ORG · 1× the University of New South Wales ORG · 1× the University of Queensland ORG · 1×

Narrative

He believes controls put up by AI companies to prevent misuse are constraining biological work. "Right now, biologists are not reaping the benefits of the most powerful AI models that are commercially available.
framing: mixed · carried by 1 article(s) · first seen 2026-09-27
🔮 The AI industry is suddenly rife with existential fears, with senior figures claiming it could "kill us all" within a decade.
2026-09-27 · ABC News (AU)
How seriously should we take biological threats from AI? · mixed framing

Claims (51 extracted, 19 hedged)

The AI industry is suddenly rife with existential fears, with senior figures claiming it could "kill us all" within a decade. uncertain
it → claim → decade
Dario Amodei, CEO of one of the world's largest AI companies, Anthropic, has called for a "slowdown" of AI development to prevent it outrunning our control. asserted
it → call → control
One particular fear is that AI could develop a dangerous biological agent, or a bioweapon. uncertain
AI → develop → agent
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". uncertain
they → show → mechanism
Why does AI raise the danger of bioweapons? asserted
AI → raise → bioweapons
Labs around the world have had the tools to make dangerous biological agents, like viruses, for decades. asserted
Labs → have → decades
But few people have known how to use those tools, and all of them are scientists who have spent years building their qualifications and credibility. asserted
who → know → qualifications
Brendan Walker-Munro, a security researcher at Southern Cross University, says AI changes this. " asserted
AI → say → this
It's lowering those knowledge barriers." asserted
It → lower → barriers
David Heslop, a public health researcher at the University of New South Wales, says the speed of AI progress makes him "very concerned". asserted
him → say → progress
"The tools are advancing at a rate which means that human oversight is becoming challenging," Dr Heslop says. asserted
Heslop → advance → rate
An advanced AI model could give a user outside traditional systems the information required to make a bioweapon. " uncertain
model → give → bioweapon
It could be a virus or it could be a bacteria, it could be a fungus, it could be something we've never seen before." uncertain
we → see → ?
Equally dangerously in Dr Heslop's opinion, an AI tool like a large language model (LLM) could help a bad actor plan to deploy dangerous material, including pre-existing viruses or toxins. uncertain
actor → help → viruses
Such work would still need a level of expertise and tens of thousands of dollars of lab equipment. asserted
work → need → equipment
"We're not at the point, yet, where the LLM gives you a superpower," Dr Heslop says. " asserted
Heslop → give → superpower
But it's certainly something that could be done in a laboratory." uncertain
that → do → laboratory
AI could also be used to attack broader public health systems, like hospital infrastructure. uncertain
AI → use → 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". uncertain
tools → say → production
"You could imagine something similar happening to engineer super-pathogens for crops. uncertain
something → imagine → crops
" What sorts of biological threats has AI enabled? asserted
AI → enable → threats
There are several cases where AI has already been used to help design dangerous biological agents. asserted
AI → be → agents
In 2022, researchers at the Collaborations Pharmaceuticals company showed they could use their company's AI software to make dangerous toxins. uncertain
they → show → toxins
The company's AI tool was used to screen out drug candidates with high predicted toxicity. asserted
tool → use → toxicity
But the team found they could instruct it to do the opposite, designing new toxins in a matter of hours. uncertain
they → find → hours
In its recent threat intelligence report, Anthropic highlighted five examples of people using its products "in ways that could support biological weapons development". uncertain
that → highlight → development
Anthropic's models were used to do things like draft grant applications and analyse data in research that made human viruses more contagious, and venoms and toxins more deadly. asserted
venoms → use → research
All of these users, according to Anthropic, were "working scientists" outside the US using unauthorised software to gain access to the US versions of their products. uncertain
scientists → accord → products
Anthropic banned the users for violating supported region policies. asserted
Anthropic → ban → policies
Biologists have used AI for positive purposes. 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. asserted
Alphafold → use → Chemistry
More recently, US researchers used generative AI to design new bacteria-infecting viruses which could become treatments against infection. uncertain
which → use → infection
Dr Kainer and his colleagues have developed an autonomous AI tool to help with agricultural research. asserted
Kainer → develop → research
Their tool collates vast amounts of data to make networks that biologists can use to predict how environmental or genetic changes might change a plant's features. uncertain
changes → collate → features
"AI, if constructed and used correctly in a clever way, can do that process in an hour instead of six months," Dr Kainer says. asserted
Kainer → construct → months
It's not easy to tell if someone's intentions are malicious when they use AI for biological research. asserted
they → tell → research
"The analyses you would try to do would look very similar, in my opinion, to work done for beneficial purposes," Dr Kainer says. asserted
Kainer → try → purposes
He believes controls put up by AI companies to prevent misuse are constraining biological work. "Right now, biologists are not reaping the benefits of the most powerful AI models that are commercially available. asserted
that → believe → models
What can reduce the risks? asserted
What → reduce → risks
Commercial LLMs have safety controls which are designed to prevent their use for dangerous purposes. asserted
which → have → purposes
Dr Heslop says these guardrails are the right step, but laws and regulations are needed as well. asserted
laws → say → ?
…and 11 more, not listed.
💬Give feedback
🕘History 🎫Support