Abstract

The accelerating impact of AI in biomedical research is driving significant advances in precision medicine. As these systems increasingly shape health outcomes, the imperative to develop trustworthy, reliable, and ethically grounded AI becomes more pressing, particularly in addressing concerns related to data integrity, patient safety, and equitable outcomes. While the potential of AI to transform biomedical research is clear, its responsible integration depends on more than technological capability. Ensuring that these systems are aligned with societal values requires a dual commitment: the operationalization of ethical principles throughout the AI life cycle and the establishment of robust regulatory mechanisms. Ethics provides the normative vision for fairness, accountability, and human dignity, whereas regulation translates these ideals into enforceable standards. This paper explores the convergence of these domains as a necessary foundation for developing trustworthy human-centered AI in biomedical contexts. We provide practical guidance for AI developers and researchers on integrating proactive governance and translating ethical principles into actionable strategies to support equitable and responsible innovation.

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

Keywords and Phrases

AI governance; biomedical AI Ethics; human-centered AI; regulatory frameworks; trustworthy AI

International Standard Serial Number (ISSN)

2161-4407; 2161-4393

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 2025

Download

Full Text Link

Share

 
COinS