Healthcare leaders face growing pressure to adopt generative AI while navigating complex regulatory requirements, data privacy risks, and ethical considerations within Saudi Arabia’s evolving frameworks.
This 3-part series, Responsible AI: Generative AI Use in the Kingdom’s Healthcare System, builds capability from safe clinical use to PDPL-aligned governance and enterprise deployment. Covering the Triad of Governance (MoH, SDAIA, NHIC), bioethics (Amanah, Adl, Sitr), and validated AI use, the program progresses through Foundations, Ethics & Law, and Technical Mastery & Future Readiness. The program equips clinicians and leaders with the tools to implement AI safely and responsibly, enabling secure, patient-centered, and sovereign AI-enabled care aligned with national regulations.
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Part 1: Foundation & Safe Practice
Covers generative AI from clinician and patient perspectives. Explores the “Triad of Governance” (MoH, SDAIA, NHIC) and 5-layer validation for AI outputs. Teaches safe prompting respecting Saudi cultural and clinical constraints.
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Part 2: Ethics, Law & Professional Pledge
Dives into Personal Data Protection Law (PDPL) implications for health data. Integrates bioethical principles (Amanah, Adl, Sitr) into workflows. Emphasizes human judgment superseding automation.
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Part 3: Technical Mastery & Future Readiness
Addresses Sovereign AI deployment and zero-retention architectures for data protection. Guides scaling from pilots to institutional excellence. Prepares for evolving Saudi AI policy landscapes.
