Data Privacy and Security Standards in AI-Powered Scientific Research
Hewa Majeed Zangana, Marwan Omar, Jamal Nazzal Al-Karaki · Advances in computational intelligence and robotics book series · 2025
The integration of Artificial Intelligence (AI) into scientific, technical, and medical (STM) research has unlocked transformative possibilities, enhancing discovery, analysis, and innovation at unprecedented scales. However, this rapid advancement also raises critical concerns regarding data privacy and security. This chapter explores the emerging standards, frameworks, and best practices designed to protect sensitive information within AI-driven STM research environments. It examines the ethical, legal, and technical challenges posed by AI systems, including data ownership, informed consent, bias mitigation, and cybersecurity risks. Furthermore, the chapter highlights international regulations, such as GDPR and HIPAA, and discusses the role of transparency, accountability, and secure data governance in maintaining the integrity and trustworthiness of AI-powered research. By offering a comprehensive overview, this chapter aims to equip researchers, policymakers, and technologists with the knowledge needed to navigate the evolving landscape of data protection in the AI era.