Jacob Turner

Barrister, Fountain Court Chambers

Jacob Turner is a barrister and author of Robot Rules: Regulating Artificial Intelligence (Palgrave Macmillan, 2018). He is also a contributing author to The Law of Artificial Intelligence (Sweet & Maxwell, 2020). He regularly advises governments, regulators and private organisations on the legal treatment of AI. He acted for former Uber drivers sacked by algorithms in the world’s first case on AI decision-making. Jacob also acted for Dr Thaler in the ‘DABUS’ case in the UK Supreme Court concerning whether an AI program can be named as the ‘inventor’ for patent applications. Jacob also acted for a group of defendant banks in a multi-billion dollar case where the claimants sought to prove their claim using evidence generated by AI.

Jacob has lectured on regulating AI at universities including Oxford, Cambridge, Shanghai Maritime, Singapore Management University and the Max Planck Institute in Hamburg. He has provided training to the judiciaries of the UAE and Singapore on the governance of AI, and seminars to the Chinese Government and Military on AI and national security. Jacob is a former Judicial Assistant to Lord Mance in the UK Supreme Court, with whom he wrote Privy Council Practice (OUP, 2017).

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Artificial intelligence—explainability

Practice Notes

This Practice Note considers explainability in the context of artificial intelligence (AI), explaining what it is, why it is important, and the legal framework and regulatory guidance around explainability. It also offers an overview of practical techniques for achieving explainability in the development, implementation and use of AI.

TMT