Editorial Policy

• The International Legal Review of Artificial Intelligence, Machine Learning and Robotics maintains editorial independence, integrity, and transparency throughout the publication process.

• Manuscripts are selected based on their academic merit, originality, quality, and relevance to artificial intelligence, machine learning, robotics, technology law, and related regulatory issues.

• All suitable submissions undergo a double-blind peer review process.

• Editors ensure the confidentiality of authors and reviewers and make publication decisions in an objective, fair, and unbiased manner.

• The editorial board consists of qualified scholars, researchers, legal professionals, technology experts, and interdisciplinary specialists with expertise in artificial intelligence, machine learning, robotics, technology law, ethics, governance, and related disciplines.