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Computer Law & Security Review (CLSR)

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영향력 지수:
4.7
출판사:
Elsevier
ISSN:
0267-3649
조회:
52221
팔로우:
13

논문 모집

Computer Law & Security Review (CLSR) is an academic journal published by Elsevier. (ISSN 0267-3649, impact factor 4.7, CCF C).

Aims & Scope The Computer Law and Security Review (CLSR) is an international journal of technology law and practice providing a major platform for publication of high quality research, policy and legal analysis within the field of IT law and computer security. It has been published six times a year since 1985 under its founding Editor, Emeritus Professor Steve Saxby, who retired in 2018 after handing editorship over to Professor Sophie Stalla-Bourdillon. It is the leading journal of its kind in Europe and provides a robust peer reviewed medium and policy forum for dissemination of knowledge and discussion, supported by powerful Editorial and Professional Boards. CLSR is accessible to a wide range of academics, researchers, research institutes, companies, libraries and governmental and non-governmental organisations in both the public and private sectors as well as professionals in the legal, IT and related business sectors in more than 100 countries. It is available on ScienceDirect, the world's foremost provider of electronic scientific information to more than 16 million subscribers. CLSR authors come from leading academics, international specialists, legal professionals and early career researchers from many of the most renowned research centres and universities in the world. Contributors are also located in the major international law firms, specializing in technology law, who provide essential comment and analysis built upon widespread experience of applying IT law in practice. CLSR further welcomes policy analysis from legal specialists, the judiciary, professional and business organisations operating in IT and from those with regulatory responsibilities for information and communications technology from both the public and private sectors as it regularly contributes to consultations undertaken by the EU, Council of Europe and other bodies. Papers that reflect the outcomes of funded research e.g. from Research Councils or EU projects are welcomed. Submissions are welcomed from any part of the world. CLSR is looking for papers within the subject area that display good quality legal analysis, new lines of legal thought or policy development that go beyond mere description of Law or policy, however accurate that may be. CLSR publishes refereed academic and practitioner papers on a wide range of legal topics such as Internet law, telecoms regulation, intellectual property, cyber-crime, surveillance and security, e-commerce, outsourcing, data protection, ePrivacy, EU and public sector ICT policy, and many others. In addition it provides a regular update on European Union developments, and national news from more than 20 jurisdictions in both Europe and the Pacific Rim. All papers are then peer reviewed by relevant experts and feedback is given whether or not a paper is accepted or returned for further work. Submissions will normally be between 6,000-15,000 words although papers of a higher word length may also be submitted subject to negotiation with the Editor. The Editor's policy is to try and accommodate contributions of all sizes above the minimum threshold where length is dictated by the needs of the subject matter. Opinion pieces concerning policy, legislation or case law of a minimum of 2000 words and upwards will also be considered but these will appear as comment and not as feature articles. Please note that CLSR strongly encourages PhD students, who have not yet obtained their degree, not to submit papers unless accompanied by confirmation that the supervisor has seen the manuscript and is recommending it for publication. If the supervisor's approval can be provided, asserting that the draft manuscript has been reworked and developed with the journal's aims and expectations in mind, then it will be accepted for review.
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Special Issues

Special Issue on Legal Frameworks, Technical Challenges, and Regulatory Design for Governing General-Purpose AI Systems 투고 마감일: 2026-10-30 This special issue aims to bring together cutting-edge research at the intersection of computer science and law to address the distinctive governance challenges posed by foundation models and GPAI systems. We seek contributions that combine rigorous legal analysis with technical depth, reflecting the inherently interdisciplinary nature of the challenge. The SI addresses three interrelated dimensions: (i) the technical properties of foundation models that generate novel legal and regulatory questions; (ii) the legal and regulatory frameworks being developed or adapted to govern these systems; and (iii) the computational and methodological tools that can support governance objectives. We welcome submissions from interdisciplinary researchers and practitioners — in law, computer science, public policy, and related fields — looking to advance understanding of how foundation models can be governed effectively, equitably, and in a manner that is responsive to both their technical complexity and their societal impact. Guest editors: Dr. Davide Audrito, University of Turin, European Commission, Italy Dr. Livio Robaldo, Swansea University, UK Dr. Roberto Nai, University of Turin, Italy Dr. Sergio Picascia, Università degli Studi di Milano, Italy Dr. Emilio Sulis, University of Turin, Italy Special issue information: The special issue focuses on a wide range of topics at the intersection of law and computer science, including but not limited to: • Legal and Regulatory Perspectives • Legal classification and regulatory treatment of foundation models and GPAI systems • Liability allocation across the GPAI value chain • Intellectual property challenges • Data protection and privacy implications of large-scale pre-training • Comparative and international perspectives on GPAI governance • Sector-specific regulatory interactions • Fundamental rights impact assessments for systemic-risk GPAI models • Competition law, market concentration, and the political economy of foundation model providers Computer Science and Technical Perspectives • Technical auditing, red-teaming, and evaluation methodologies for foundation models • Interpretability, explainability, and transparency methods for large-scale language models • Benchmarking and measurement frameworks for GPAI compliance with regulatory requirements • Process mining and process-aware analytics for auditing, monitoring, and conformance checking of GPAI systems • Training data governance: documentation, provenance tracking, and filtering techniques • Safety alignment, RLHF, and value alignment techniques as regulatory compliance mechanisms • Computational approaches to copyright detection and attribution in training corpora • Privacy-preserving techniques in the context of GPAI regulation • GPAI-assisted regulatory and policy assessment tools: automation, reliability, and accountability in institutional compliance workflows • Open-source vs. proprietary models: technical architectures, governance implications, and risk profiles Manuscript submission information: Manuscripts should be submitted through the Elsevier Editorial Manager system: Submission site for CLSR. Please select the "VSI:Governing GP AI Systems " as the Article Type during the submission process. Submissions will be screened by the guest editors for relevance, clarity and compliance with journal requirements, and eligible manuscripts will proceed to double blind peer review in line with Elsevier and journal expectations. Authors should ensure that drafts are prepared to a standard suitable for peer review and that any empirical claims, technical descriptions or case based assertions are supported appropriately. Please refer to Elsevier's the Guide for Authors for submission guidelines. Final Manuscript Submission Deadline: October 30, 2026 Keywords: General-Purpose AI, AI Governance, AI Safety, Regulatory Design
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Computer Science Review12.7Elsevier1574-0137
Artificial Intelligence and Law3.1Springer0924-8463
Artificial Intelligence Review13.9Springer0269-2821
Law, Innovation and TechnologyTaylor & Francis1757-9961
Online Information Review3.5Emerald1468-4527
Network SecurityElsevier1353-4858
BComputers & Security5.4Elsevier0167-4048
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312

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