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The Journal of Artificial Intelligence and Legal Technology (JAILT) is a journal that publishes manuscripts of scientific research papers related to artificial intelligence (AI) and legal technology. The scope of research includes both theoretical studies and applied innovations that contribute to the advancement of AI, as well as its applications in legal systems, governance, and regulatory frameworks.
Fields of interest include, but are not limited to:
Machine Learning and Deep Learning
Natural Language Processing (NLP) and Large Language Models (LLMs)
Data Science and Big Data
Neural Networks and Reinforcement Learning
Computer Vision and Image Processing
Causal Inference and AI for Decision-Making
Algorithmic Fairness and Transparency
Hybrid AI Models (Symbolic AI and Machine Learning)
AI for Cybersecurity and Risk Assessment
Edge AI and Federated Learning
Quantum AI and Next-Generation Computing
Explainable AI (XAI)
Multi-Agent Systems and Distributed AI
AI Ethics and Responsible AI Development
Computational Legal Reasoning
Large Language Models (LLMs) in Legal Applications
Legal Knowledge Representation and Ontologies
Formal Models for Legal Argumentation
Judicial Decision-Making and AI
AI in Legislative Drafting and Public Administration
Legal Information Retrieval and Document Automation
Smart Contracts and Automated Dispute Resolution
Bias Detection and Fairness in Legal AI
Ethical and Societal Implications of AI in Law
AI-Driven Compliance and Regulatory Technology (RegTech)
AI in E-Governance and Public Service Automation
AI and Access to Justice
Automated Legal Text Understanding and Summarization
AI-Enabled Legal Education and Training Systems
Legal Frameworks for AI Governance and Regulation
AI and Human Rights
Intellectual Property and AI-Generated Works
AI and Privacy Law (Data Protection, GDPR, etc.)
Algorithmic Accountability and Legal Responsibility
Comparative Legal Studies on AI Regulation
AI and Criminal Justice Systems
AI in Corporate and Financial Law
Philosophical and Jurisprudential Perspectives on AI
JAILT encourages interdisciplinary approaches that incorporate artificial intelligence, jurisprudence, computational law, logic, cognitive psychology, linguistics, and philosophy to foster the responsible and ethical development of AI-driven technologies.
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