Mohammad Samiul Huq

Overview

Samiul is a Doctoral Researcher and Graduate Teaching Assistant at The City Law School, City St George’s, University of London. He is also a practising lawyer with over 15 years of experience and is the Managing Partner of Credence LP, a Legal 500-ranked law firm in Bangladesh. He practises as an Advocate before the Supreme Court of Bangladesh, including its High Court and Appellate Divisions.

His doctoral research focuses on artificial intelligence, regulation and civil liability, with particular interest in the challenges that increasingly autonomous AI systems present for established principles of English law. His wider research interests include tort law, commercial law, dispute resolution, maritime and admiralty law, constitutional and administrative law, and regulatory governance.

Alongside his research, Samiul has extensive experience in higher education, having taught law for many years at University of London teaching centres. His teaching has included Contract Law, Public and Administrative Law, Tort Law, Jurisprudence, Company Law and the English Legal System.

Samiul's professional practice spans complex commercial litigation, corporate and commercial law, maritime and admiralty disputes, arbitration, judicial review, constitutional law, taxation and regulatory matters. He has advised both domestic and international clients, including Damen Shipyards Group of the Netherlands and the Aditya Birla Group of India, on matters involving Bangladeshi law and cross-border commercial and regulatory issues. His international work also includes providing expert opinions on Bangladeshi law for use in overseas legal proceedings. His experience includes expert evidence on Bangladeshi family and succession law for proceedings before the Family Justice Courts of Singapore, as well as legal opinions concerning Bangladeshi law for proceedings in the United Kingdom, including work for the London Borough of Hillingdon and in immigration and asylum proceedings.

Several matters in which he has appeared as counsel have been reported in leading law reports in Bangladesh. His academic interests, shaped in part by his extensive experience in legal practice, extend beyond his doctoral research to legal history and literature, the relationship between law and politics, constitutional and administrative law, and maritime and admiralty law.

Qualifications

• PhD, City, University of London, United Kingdom, 2026 - February 2030
• Advocate, Appellate and High Court Division, Supreme Court of Bangladesh, Bangladesh
• Called to Bar, The Honourable Society of Lincoln's Inn, United Kingdom
• Bachelor of Laws (LLB) with Honours, University of London, United Kingdom
• Postgraduate Diploma in Professional Legal Skills, City, University of London, United Kingdom
• Master of Laws (LLM) with Distinction, Nottingham Trent University, United Kingdom
• Postgraduate Diploma in International Relations, University of Dhaka, Bangladesh

Postgraduate training

• MA Academic Practice, City, University of London, London, United Kingdom, October 2026
• Bar Professional Training Course (BPTC), City, University of London, London, United Kingdom

Employment

• Graduate Teaching Assistant, City, University of London, United Kingdom, September 2026 - present

Expertise

Geographic Areas

• Doctorar Researcher
• Lawyer

Title of thesis: Artificial Intelligence and Civil Liability: Rethinking UK Tort Law for Autonomous Systems

2026 - February 2030

Summary of research

Samiul’s doctoral research examines civil liability for harm caused by increasingly autonomous artificial intelligence under English law. It considers whether existing principles of tort and product liability can adequately respond when AI systems make and carry out decisions with diminishing or, in some cases, no meaningful human involvement.

The research focuses on problems of responsibility, attribution and causation. AI systems may involve multiple actors, including developers, providers, deployers, operators and users, making it difficult to identify which actor should bear responsibility for a harmful outcome. This creates the commonly described “many-hands” problem. At the same time, increasingly autonomous AI may produce harmful outcomes without any identifiable human wrongdoing or direct human involvement in the particular decision. This “no-hands” problem raises further questions about whether autonomous decision-making may disrupt the conventional chain of causation between human conduct and resulting harm.

The research examines how these developments challenge established principles of negligence, including duty of care, breach, causation, foreseeability and the standard of care, within the UK’s developing AI regulatory framework. It also considers the EU framework as a useful reference point.

Research students

1^stsupervisor

• Ilias Kapsis, Senior Lecturer (Education and Research)

2^ndsupervisor

• Dr Despoina Farmaki, Lecturer