Data privacy and security standards in AI-powered scientific research

Document Type

Article

Source of Publication

Ensuring Secure and Ethical STM Research in the AI Era

Publication Date

5-14-2025

Abstract

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.

ISBN

[9798337342528, 9798337342542]

ISSN

2327-0411

Publisher

IGI Global

First Page

1

Last Page

41

Disciplines

Computer Sciences

Keywords

Data privacy, Security standards, AI in research, Ethical challenges, Data governance

Scopus ID

105008416551

Indexed in Scopus

yes

Open Access

no

Link to Full Text

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