Volume 19, Issue 60 (4-2025)
MLJ 2025, 19(60): 1013-1030 |
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Ommi A. Ethical Governance and Biolegal Rights in Artificial Intelligence:
Analysis of the Three-Level Model of Trust, Trustworthiness and Consent. MLJ 2025; 19 (60) :1013-1030
URL: http://ijmedicallaw.ir/article-1-2025-en.html
URL: http://ijmedicallaw.ir/article-1-2025-en.html
Department of Law, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract:
Background and Aim: The unprecedented development of artificial intelligence in medicine and genomics has transformed biodata from a technical component into a central subject of ethics and law. This transformation highlights the necessity of redefining the relationship between human beings, data and legal regulation from the perspectives of bioethics and Islamic jurisprudence. This study aims to conceptualize a three-level framework of “trust, fiduciary responsibility (amanah) and consent” and to examine their reflection in Iran’s health system.
Method: This research employs an analytical-comparative approach. Ethical philosophies, Islamic jurisprudential sources and international legal instruments were collected and comparatively analyzed. Qualitative analysis was conducted at both theoretical and regulatory levels and a national model of data ethics was extracted through comparison among Iran, the European Union and Arab legal systems.
Ethical Considerations: In this study, ethical principles of library-based research, including originality of sources, academic honesty and scholarly trustworthiness, were fully observed.
Results: The findings indicate that the principles of trust, fiduciary responsibility and consent represent shared foundations among Islamic jurisprudence, information ethics and international data protection regulations. Trust constitutes the basis of accountability and transparency; fiduciary responsibility reflects ethical commitment to human dignity; and consent provides legal legitimacy for data processing. Iran’s Digital Health Law demonstrates an initial integration of these principles at the national level.
Conclusion: Data ethics cannot be reduced to technological ownership but should be understood within the framework of human trust and fiduciary responsibility. The proposed three-level model can serve as a conceptual guide for protecting data dignity and strengthening public trust in national and international health systems.
Please cite this article as:
Ommi A. Ethical Governance and Biolegal Rights in Artificial Intelligence: Analysis of the Three-Level Model of Trust, Trustworthiness and Consent. Medical Law Journal. 2025; 19: e67.
Method: This research employs an analytical-comparative approach. Ethical philosophies, Islamic jurisprudential sources and international legal instruments were collected and comparatively analyzed. Qualitative analysis was conducted at both theoretical and regulatory levels and a national model of data ethics was extracted through comparison among Iran, the European Union and Arab legal systems.
Ethical Considerations: In this study, ethical principles of library-based research, including originality of sources, academic honesty and scholarly trustworthiness, were fully observed.
Results: The findings indicate that the principles of trust, fiduciary responsibility and consent represent shared foundations among Islamic jurisprudence, information ethics and international data protection regulations. Trust constitutes the basis of accountability and transparency; fiduciary responsibility reflects ethical commitment to human dignity; and consent provides legal legitimacy for data processing. Iran’s Digital Health Law demonstrates an initial integration of these principles at the national level.
Conclusion: Data ethics cannot be reduced to technological ownership but should be understood within the framework of human trust and fiduciary responsibility. The proposed three-level model can serve as a conceptual guide for protecting data dignity and strengthening public trust in national and international health systems.
Please cite this article as:
Ommi A. Ethical Governance and Biolegal Rights in Artificial Intelligence: Analysis of the Three-Level Model of Trust, Trustworthiness and Consent. Medical Law Journal. 2025; 19: e67.
Keywords: Data Ethics, Artificial Intelligence, Human Dignity, Genomics, Information Fiqh, Informed Consent
Type of Study: Original Article |
Received: 2025/05/12 | Accepted: 2025/12/1
Received: 2025/05/12 | Accepted: 2025/12/1
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