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22 May 2026
Issue: 8162 / Categories: Legal News , Artificial intelligence , Technology , Profession , Liability
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NLJ this week: Chatbots in the dock as AI liability questions mount

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As AI chatbots increasingly provide legal and commercial advice, English law is beginning to confront who should bear responsibility when automated systems get things wrong

Writing in NLJ this week, Mary Young of Kingsley Napley examines how traditional principles of misrepresentation struggle when applied to large language models such as ChatGPT. Because AI systems are not legal persons, claimants must instead seek to attribute liability to developers, operators or companies deploying the technology.

Young points to the Canadian Air Canada chatbot case, where the airline was held responsible after false information appeared on its website, despite arguments that the chatbot operated autonomously.

The article also explores whether software developers could owe duties analogous to trustees or company directors, drawing on Tulip Trading v Van Der Laan. Yet proving fraudulent intent remains difficult where AI systems generate inaccurate information without human involvement, making successful claims an uphill struggle.

MOVERS & SHAKERS

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DAC Beachcroft—Richard Breavington, Rachel Ford & Daniel Guilfoyle

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Browne Jacobson—Professor Clive Kay

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Browne Jacobson appoints senior healthcare leader Professor Clive Kay as strategic adviser

NEWS
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Jonathan Fisher KC highlights that it now accounts for around 40% of criminal offences, with roughly 70% involving technology, and argues that the UK cannot simply prosecute its way out of the problem. Detection, investigation and prosecution all require improvement, while different fraud types demand tailored responses.

How forcefully can a litigant criticise a public authority before robust advocacy crosses the line into unreasonable conduct? 
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