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AI procurement and governance

Joel R. Klemmer on AI Procurement

AI adoption is not only a technical issue. It is also a procurement, governance, vendor-risk, data, contract, compliance, and institutional-change issue.

AI buying discipline

Institutions need to evaluate model claims, data rights, security, bias, auditability, infrastructure dependency, pricing, and accountability before deployment.

Public-sector relevance

Public-sector AI needs procurement controls that preserve transparency, service continuity, privacy, security, and public trust.

Board relevance

Boards should treat AI vendors and model infrastructure as strategic third-party risk.