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Enterprise AI Governance

Turning an AI project into an organizational capability: decision rights, problem framing, architecture, security, contracts and acceptance.

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First slide of «Enterprise AI Governance»

The course follows a case: a CEO asks the organization to build an intelligent assistant within three months. Each section examines one of the decisions hidden behind that apparently simple instruction.

Topics

  1. 1The governance operating model and decision rights
  2. 2The scope of governance and AI washing
  3. 3Problem governance and the investment portfolio
  4. 4Architecture, data and suppliers
  5. 5Security, accountability and human oversight
  6. 6Contracts, acceptance and project evaluation