.jpg)
Computer Law & Security Review (CLSR), Elsevier, is inviting submissions for a Special Issue focusing on the governance of Foundation Models and General-Purpose Artificial Intelligence (GPAI) systems. The last date for manuscript submission is October 30, 2026.
About the Journal
Computer Law & Security Review (CLSR) is an internationally recognized journal of technology law and practice that publishes high-quality research, legal analysis, and policy discussions relating to information technology law and computer security.
Published six times annually since 1985, CLSR is regarded as one of the leading journals in the field of technology law and digital governance. The journal is currently edited by Professor Sophie Stalla-Bourdillon and is supported by distinguished Editorial and Professional Boards.
About the Special Issue
This special issue seeks to bring together interdisciplinary scholarship examining the governance challenges posed by Foundation Models and General-Purpose Artificial Intelligence (GPAI) systems.
The issue aims to explore:
• Technical characteristics of foundation models that raise novel legal and regulatory concerns
• Emerging legal and regulatory frameworks governing GPAI systems
• Computational and methodological tools that support effective AI governance and compliance
Eligibility
Submissions are welcome from:
• Legal scholars
• Computer scientists
• Public policy researchers
• Technology practitioners
• Interdisciplinary researchers and professionals working on AI governance and regulation
Themes and Sub-Themes
Legal and Regulatory Perspectives
• Legal classification and regulatory treatment of Foundation Models and GPAI systems
• Liability allocation across the GPAI value chain
• Intellectual property and copyright challenges
• Data protection and privacy implications of large-scale pre-training
• Comparative and international approaches to GPAI governance
• Sector-specific regulatory interactions
• Fundamental rights impact assessments for systemic-risk GPAI models
• Competition law, market concentration, and governance of foundation model providers
Computer Science and Technical Perspectives
• Technical auditing, red-teaming, and evaluation methodologies
• Interpretability, explainability, and transparency of large language models
• Compliance benchmarking and measurement frameworks
• Process mining and process-aware analytics for AI auditing and monitoring
• Training data governance, provenance tracking, and documentation techniques
• Safety alignment, RLHF, and value alignment methods
• Computational copyright detection and attribution mechanisms
• Privacy-preserving technologies for GPAI regulation
• AI-assisted regulatory and policy assessment tools
• Open-source versus proprietary AI models: governance implications and risk assessment
Important Date
• Final Manuscript Submission Deadline: October 30, 2026
Submission Procedure
• Manuscripts must be submitted through the Elsevier Editorial Manager System.
• Submissions will undergo an initial screening by the Guest Editors for relevance, clarity, and compliance with journal requirements.
• Eligible manuscripts will proceed to double-blind peer review in accordance with Elsevier and CLSR policies.
• Authors should ensure that all empirical claims, technical analyses, and case-based assertions are properly supported and referenced.
Journal
Computer Law & Security Review (CLSR)
Publisher
Elsevier
Nature of Publication
Special Issue on Foundation Models and GPAI Governance
Review Process
Double-Blind Peer Review