Artificial intelligence and genomic data privacy: Balancing innovation with security.

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Authors: Leila Kohan
Cited by: 0

Abstract

Protection Regulation (GDPR) in Europe represent important steps forward, many regions still lack comprehensive policies.International cooperation and harmonized legislation are urgently needed to ensure consistent standards for data governance across borders.Equally important are advanced data protection technologies.Approaches such as encryption, federated learning, and differential privacy allow researchers to analyze genomic data without transferring or exposing raw information, thereby reducing the risk of breaches or unauthorized access.Education and awareness also play a vital role.Researchers, clinicians, and even patients must be informed about the ethical responsibilities associated with handling genomic data.Training in data ethics should be regarded as just as essential as training in bioinformatics or machine learning.Moreover, transparency in research is fundamental to maintaining scientific integrity and public confidence.Scientific journals and institutions should require clear and detailed reporting on how genomic data are managed, protected, and shared.Such transparency not only reinforces accountability but also helps to build and sustain trust among participants and the broader public [6,7].The convergence of AI and genomics represents one of the most groundbreaking scientific developments of our time, with the potential to revolutionize disease diagnosis, treatment, and prevention while advancing the vision of truly personalized medicine.However, the sustainability of this progress depends on embedding ethical and security considerations at the very core of these advancements.As members of the scientific community, we must work collectively to safeguard both innovation and human dignity.Achieving this balance will require close collaboration among researchers, policymakers, regulatory bodies, and society at large.Only through such cooperation can we fully unlock the extraordinary potential of AI in genomics without compromising privacy, trust, and the fundamental rights of individuals.

Publication details

Journal / source
PubMed
Volume
15
Issue
1
Pages
1–2
Publication date
1 January 2026
Language
EN