Cambridge Forum on AI: Law and Governance publishes content focused on the governance of artificial intelligence (AI) from law, rules, and regulation through to ethical behaviour, accountability and responsible practice. It also looks at the impact on society of such governance along with how AI can be used responsibly to benefit the legal, corporate and other sectors.

Following the emergence of generative AI and broader general purpose AI models, there is a pressing need to clarify the role of governance, to consider the mechanisms for oversight and regulation of AI, and to discuss the interrelationships and shifting tensions between the legal and regulatory landscape, ethical implications and evolving technologies. Cambridge Forum on AI: Law and Governance uses themed issues to bring together voices from law, business, applied ethics, computer science and many other disciplines to explore the social, ethical and legal impact of AI, data science, and robotics and the governance frameworks they require.

Cambridge Forum on AI: Law and Governance is part of the Cambridge Forum journal series, which progresses cross-disciplinary conversations on issues of global importance.

The journal invites submissions for the upcoming Themed Issue: Rethinking Liability in the Age of AI:

European and Comparative perspectives Guest Edited by Martin Ebers and Monica Navarro-Michel.

The deadline for submissions is  28 February 2026.

Purpose and content of the themed issue

AI liability is evolving rapidly in the EU and beyond: the Product Liability Directive has been revised, the AI Liability Directive has been withdrawn, and national liability laws are gaining momentum. These developments raise fundamental questions: Where do we stand today, and where are we heading? What impact will AI liability have on the future of business and society?

This themed issue will explore the multiple dimensions and challenges of AI liability, focusing particularly on areas that remain underexplored or conceptually unsettled. It will do so through three complementary perspectives:

1. Foundational Legal Questions: The first section will examine the core legal concepts underpinning liability, including damage, causation, and attribution criteria (such as negligence in fault-based liability and risk in strict liability). It will also address the challenges posed by the AI value chain, including issues of multi-actor responsibility and the diffusion of control and risk across AI development and deployment stages.

2. Application of Existing Liability Regimes in the EU and beyond: The second section will analyze how existing legal instruments (in the EU: the revised Product Liability Directive, the General Data Protection Regulation (GDPR), and copyright law) apply to AI systems. Contributors will critically assess the adequacy of these frameworks for addressing harms caused by AI, and the interpretive challenges they pose for courts, regulators, and businesses.

3. Sectoral and Use-Case Perspectives: The third section will explore specific applications of AI that give rise to novel liability questions. Examples include deepfakes and personality rights, AI companion applications, erroneous outputs from generative models such as ChatGPT, and AI use in professional settings, including the judiciary, legal services, and healthcare. These case studies will illuminate how AI liability unfolds in practice and what lessons can be drawn for broader policy and legal development.

We particularly welcome research papers that address the above-mentioned issues from a comparative or international law perspective and/or examine them within the context of non-EU legal systems.

Submission guidelines 

Cambridge Forum on AI: Law and Governance seeks to engage multiple subject disciplines and promote dialogue between policymakers and practitioners as well as academics. The journal therefore encourages authors to use an accessible writing style.

Authors have the option to submit a range of article types to the journal. Please see the journal’s author instructions for more information.
 
Articles will be peer reviewed for both content and style. Articles will appear digitally and open access in the journal. 
 
All submissions should be made through the journal’s online peer review system. Author should consult the journal’s author instructions prior to submission. 
 
All authors will be required to declare any funding and/or competing interests upon submission. See the journal’s Publishing Ethics guidelines for more information.  
 
Contacts
Questions regarding submission and peer review can be sent to the journal’s inbox at cfl@cambridge.org.