Challenges and Solutions in AI Governance for Healthcare: A Global Perspective on Regulatory and Ethical Issues
Tran Thi Lan
Department of Information Science, Ha Tinh University of Languages and International Studies, 91 Nguyen Du Street, Ha Tinh City, Ha Tinh Province, Vietnam
Hoang Van Huy
Department of Biology, Tra Vinh College of Natural Sciences, 50 Nguyen Thien Thuat Street, Tra Vinh City, Tra Vinh Province, Vietnam
Keywords: Artificial Intelligence, Healthcare Governance, Ethical Guidelines, Regulatory Frameworks, International Collaboration
Abstract
The study addresses the complex governance challenges and potential solutions for artificial intelligence (AI) in healthcare from a global perspective. It outlines the regulatory hurdles, such as the variability in international standards, rapid technological advancements outpacing regulatory bodies, data privacy concerns, and ethical issues including bias and equitable access. These challenges are intensified by the diversity of data protection laws worldwide and the impact of AI on healthcare employment. To address these issues, the research proposes several solutions. These include fostering international collaboration to develop unified standards and best practices, implementing adaptive regulatory frameworks capable of keeping pace with AI advancements, and establishing clear ethical guidelines with oversight mechanisms. Additionally, it emphasizes the importance of public engagement and transparency in AI applications in healthcare, alongside the education and training of healthcare professionals on AI technologies. The global perspective is particularly emphasized, noting the need for cultural sensitivity in AI's application in healthcare, considering the varied perceptions and applications across cultures. It highlights the necessity of addressing resource disparities between developed and developing countries to ensure equitable access to AI-driven healthcare. The role of international bodies like the World Health Organization in setting global standards and guidelines is also recognized as vital for effective governance. This study thus provides a comprehensive overview of the multifaceted challenges and potential strategies for the governance of AI in healthcare, emphasizing the importance of international collaboration, adaptive regulatory frameworks, ethical oversight, and cultural sensitivity.
