Artificial Intelligence and Medicines Security
Building decision advantage without creating new systemic risks.
Executive argument
AI can improve forecasting, dependency discovery, quality surveillance and scenario analysis when supported by reliable data and accountable judgement.
High-value applications
Priority uses include demand sensing, shortage prediction, supplier-network mapping, anomaly detection and simulation of policy options.
Governance requirements
Institutions need documented model purposes, validated data, human escalation, performance monitoring and clear accountability.
Conclusion
AI should augment medicines-security institutions, not substitute for them.
Suggested citation
Medicines Security Institute (2026), Artificial Intelligence and Medicines Security, MSI Strategic Papers, Paper 02.
Research and correction standard