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Featured Articles
Improvement or Transformation: How Boards Should Classify AI Proposals
An AI tool that refines a process and one that changes who makes a clinical, coverage, or regulatory decision should not reach the board in the same form. A four-question test helps directors tell them apart.
Orchestrating Oversight
When one committee owns artificial intelligence, the rest of the board stops asking about it. A federated model, written into the charters and coordinated by the chair, closes the gaps.
From Sandbox to Scale
Most AI failures begin when a promising experiment is mistaken for a scalable product. The six gates of the Avancer AI Adoption at Scale Framework let the board see the difference.
Governing AI in Care Delivery: A Framework for Boards
Health system boards do not need to understand how AI models work. They need to know which uses serve how the organization is paid, what each kind of model demands after approval, which standards they will be measured against, and who is accountable.