A robust AI governance program depends on well-designed, proportionate controls that address identified risks and applicable obligations.
The AI control blueprint helps you translate priority AI risks and treatment decisions into specific controls that can be implemented, evidenced, and tested.
What's in the guide:- A framework for selecting and designing controls based on identified AI risks
- Guidance for defining control ownership, scope, criteria, evidence, exceptions, and escalation
- Worksheets to specify and map controls, assess their design, and identify implementation gaps
Download the AI control blueprint below. This guide is part 4 of 5 in a comprehensive toolkit outlining AI governance in five connected steps.