A British artificial intelligence firm co-owned by Alibaba has called on Washington to reconsider its decision to place the Chinese e-commerce giant on a defence blacklist, warning the move threatens to sever critical cross-border research collaborations. The company, based in London’s tech corridor, argues that the US Department of Defense’s designation could halt joint projects in quantum computing and autonomous systems that have already yielded patent-pending innovations.
The blacklisting, announced last week, restricts American entities from doing business with Alibaba without special licences, citing national security concerns. But the British partner, which requested anonymity due to ongoing negotiations, said the ruling casts a shadow over a shared research lab established in 2021. That lab focuses on ‘federated learning’ a privacy-preserving technique where algorithms train on data without moving it from its source. The technology is seen as vital for secure medical diagnostics and defence logistics.
“We are not exporting weapons or spying tools. We are building open-source libraries that help machines learn from distributed datasets without compromising individual privacy,” said a senior researcher at the London lab. “If the blacklist stands, our entire workflow gets paused. We have 30 British engineers working alongside Chinese counterparts on problems that no single country can solve alone.”
The dispute highlights the growing friction between technological interdependence and geopolitical mistrust. The UK government, which has its own review of Chinese investments, has so far not commented. However, insiders suggest that the British firm may need to sever ties with Alibaba’s cloud division, which controls the server infrastructure for the lab, to avoid falling foul of US sanctions.
Industry observers note that this blacklist differs from the US Commerce Department’s entity list, which already restricts Alibaba’s access to American chips. The defence list specifically targets transactions between the US Department of Defense and its contractors, but its ripple effects extend to research partnerships funded partly by UK taxpayer money through Innovate UK.
“The problem with blacklists is they create a chilling effect that goes beyond the legal text,” said Dr. Helena Morse, a technology law scholar at Cambridge. “Universities and labs start pre-emptively cutting ties to avoid compliance costs. That kills fundamental research in areas like differential privacy and homomorphic encryption where progress requires global talent pools.”
The British partner’s appeal comes as Alibaba itself resists the designation. In a statement, the company said it “remains committed to lawful and ethical business practices” and called for a fair review. The timing is awkward for London, which has been courting Chinese tech investment while also tightening rules on critical infrastructure.
For the lab’s scientists, the stakes are personal. One project nearing completion uses quantum key distribution to secure communications between autonomous ships a technology that could revolutionise maritime logistics if deployed at scale. “We had a working prototype. Now it sits in a drawer because no one knows if we can show it to our own government,” said the researcher. “This is not how you win the race for safe AI. This is how you slow it down for everyone.”
As the appeal process begins, the question remains: can collaborative AI research survive the age of digital sovereignty? Or will every algorithm carry a geopolitical price tag?
