White Papers

This white paper presents a governance framework to address ethical challenges in life sciences AI, including patient privacy, algorithmic bias, transparency, and data provenance. It expands on the “Five Foundational Laws of AI” by introducing “Foundational Law 0” (Ethical Data Foundation) to ensure data integrity from sourcing to continuous post-market monitoring. The proposed structure guides organizations in developing trustworthy, equitable AI systems that uphold patient dignity and regulatory compliance.