Guiding Policymakers Toward Better AI Ethics Integration in Healthcare Regulation-Lessons from Singapore

Area of Science:

• Healthcare Ethics
• Artificial Intelligence Governance

Background:

• Singapore's regulatory framework for Artificial Intelligence (AI) in healthcare is advancing.
• Developing comprehensive AI regulations in healthcare presents challenges due to high stakes and limited resources.

Purpose of the Study:

• To analyze Singapore's AI regulatory landscape in healthcare.
• To identify gaps and inconsistencies in current AI ethical guidelines.
• To benchmark against international AI governance frameworks.

Main Methods:

• Structured scoping analysis of key AI regulatory and professional documents in Singapore.
• Systematic mapping of documents against nine categories of ethical risk.
• Cross-document comparison and international benchmarking.

Main Results:

• Singapore's AI healthcare regulations are generally aligned with global leaders.
• Identified integration gaps and inconsistencies in ethical risk management.
• Developed recommendations applicable globally for AI in healthcare.

Conclusions:

• Recommendations address bias, human productivity, decision-making, and clinician-patient knowledge exchange.
• The study provides a framework for evolving AI governance in healthcare.
• Findings are generalizable for developers, implementers, professionals, and patients.