Ethical and Legal Frameworks for the Responsible Use of Generative AI in Scientific Research and Intellectual Property Protection

Abstract

This chapter investigates the revolutionary impact of generative AI on scientific research, while rigorously analyzing its ethical and legal ramifications. It examines how AI technologies disrupt conventional research procedures and introduce new issues in authorship, data protection, permission, and intellectual property. Utilizing bioethical principles—autonomy, fairness, beneficence, and non-maleficence—it delineates frameworks for the ethical application of AI. The book emphasizes governance frameworks, institutional ethical guidelines, algorithmic assessment, and deficiencies in patent and copyright legislation. Priority is given to cultivating AI ethics literacy and developing responsible AI from the beginning. This paper presents strategic directions for a globally cohesive, transparent, and inclusive AI research ecosystem that maintains scientific integrity and public trust through a comprehensive, interdisciplinary approach

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