Description
Most AI initiatives do not fail on the technology. They fail because AI-specific risks are not identified or prioritized, and organizations lack defensible evidence to determine whether a system is trustworthy enough for its intended use.
I built this cohort for the people who carry the consequence of AI decisions. Board directors learn alongside the executives and practitioners who run AI programs. Each side hears what the other needs. You leave with a shared language and a method you can use the next week.
- Week 1: Identify the AI risks that matter to your organization.
- Week 2: Specify the controls that reduce them.
- Week 3: Require the evidence that proves those controls work.
- Week 4: Measure what remains with the Trust Index.
Format: 4 live virtual sessions, [day] at [time] ET, starting [date]. [Length] per session.
