UK explores AI use in animal research regulation
Establishments remain responsible for AI-assisted submissions in animal research licensing, minister confirms.
The UK government is considering how generative AI could support licensing, ethical oversight and regulatory decision-making in animal research, while stressing that any future use must remain transparent, accountable and subject to human oversight.
Responding to recommendations from the Animals in Science Committee, Home Office Minister Lord Hanson of Flint said generative AI could improve regulatory processes if used responsibly. He added that further work should examine whether tailored guidance is needed for applicants, Animal Welfare and Ethical Review Bodies and the Animals in Science Regulation Unit, while carefully assessing issues such as reliability, data security and public confidence.
To support this work, officials in the Animals in Science Regulation Policy Unit will commission the Committee to provide further expert advice on the use of AI in future guidance. Lord Hanson also encouraged the Committee to involve AI specialists alongside its existing expertise in animal science.
In the meantime, the Home Office regulator will remind research establishments that they remain responsible for the quality and accuracy of submissions prepared using AI tools. The exchange follows the Committee’s original letter in February 2026 and forms part of the UK’s wider efforts to ensure AI supports, rather than replaces, regulatory judgement in animal research oversight.
Why does it matter?
The exchange illustrates a wider challenge facing regulators as generative AI becomes increasingly capable of supporting administrative and decision-making processes. While AI can improve efficiency by analysing large volumes of information, public authorities must also ensure that decisions remain transparent, accountable and subject to meaningful human oversight.
By seeking additional expert advice before introducing formal guidance, the UK is taking a cautious approach that prioritises governance over rapid deployment. The decision to keep applicants responsible for the accuracy of AI-assisted submissions also reinforces an emerging regulatory principle that human accountability should remain central, even where AI tools are used to support official processes.
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