Leading AI companies including Anthropic, OpenAI and Google DeepMind are stepping up biological risk testing and access controls amid growing fears that advanced models could help users design viruses or bioweapons, with experts warning of a potential biological moment similar to recent AI cybersecurity disruptions.
Executives and biosecurity experts are increasingly concerned that future artificial intelligence models could help users create novel viruses or bioweapons, prompting leading AI groups to accelerate their work on biological risk testing, access controls and other safeguards.
Anthropic, OpenAI and Google DeepMind are stepping up their efforts to limit misuse of advanced AI systems, even as they hope those same systems will speed up drug discovery, aid disease research and help prevent future pandemics. The safety push reflects a growing belief among AI executives and biosecurity specialists that biology may be the next field, after cybersecurity, that will require urgent protection as new models become more powerful and capable of handling complex scientific tasks.
Much of the work happening in the chemical and biological space is considered dual use, meaning that the same information used to create a bioweapon can also be used to develop an antidote or a vaccine. According to Dawn Bloxwich, whose team reviews and investigates suspicious activity across Google DeepMind's AI models, if society wants to see improvements in health, it must also accept the possibility of these tools being misused.
These concerns intensified after Anthropic's Mythos model triggered alarm this year over AI's cyber capabilities, and after OpenAI's models autonomously hacked into AI group Hugging Face in July. Experts anticipate a similar biological disruption in the near future, potentially involving a commercial system or a real societal-scale bioweapon incident. AI could be misused by terrorist groups, lone-wolf attackers or state actors to design biological weapons, create viruses or deploy existing harmful pathogens.
Several people working on biological risks pointed to Aum Shinrikyo, a cult that conducted a terror attack in Tokyo in 1995, releasing sarin nerve gas on three commuter rail lines during morning rush hour and killing 13 people while injuring thousands. The concern is that AI tools could lower the barriers for such groups to conduct similar attacks, and there is increasing evidence of groups already using AI to assist terrorism.
In July, research by the University of Cambridge revealed how Boko Haram militants used several AI tools, including OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini, SpaceXAI's Grok and the Chinese company DeepSeek, with the use going beyond digital propaganda into kinetic combat operations and weapons engineering. Safeguards implemented by AI developers include using software to detect and block suspicious queries or output specific safe responses, as well as trusted access programmes to vet users for access to advanced capabilities and conduct general monitoring of account behaviour.
AI companies also test their models' biological capabilities and potential risks, often working with external specialist evaluators such as SecureBio and Red Queen Bio. However, experts note that there are limits to what AI groups can do to prepare for potential misuse, since detecting a jump in cyber capabilities is relatively straightforward, while assessing biological capabilities typically requires costly and slow wet-lab experiments.
Running studies that demonstrate whether AI can help build a virus is often not possible or advisable because of clear biosafety concerns, and it is impossible to test biology end to end because no one can ethically test someone actually building a bioweapon. In response, Anthropic's leading model, Fable, will fall back to its previous version, Opus 4.8, for most requests related to biology and chemistry as it is considered safer for these domains, while OpenAI said it trains models to safely handle dual-use biological requests, continuously monitors for any signs of abuse and works closely with biology, biosecurity and government experts
AI Safety Bioweapons Biosecurity Anthropic Openai Google Deepmind Dual-Use Research AI Policy Bioterrorism Pandemic Prevention
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