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AI Governance: Policies, Procedures, and Risk Mitigation

Overview:

Before adopting AI, organizations need rules that keep data safe and decisions transparent. This session explains how to build practical AI governance systems that protect both staff and community trust.

 

Promise:

Create simple, people-first policies that make AI use safer, fairer, and easier to manage.

 

You’ll Learn:

- The pillars of AI governance: roles, ownership, reporting.

- Managing data privacy and vendor compliance.

- How to evaluate AI tools before approval.

- Monitoring, auditing, and continuous improvement.

 

Live Walkthroughs:

- Draft a starter AI policy using a governance template.

- Run a risk assessment scenario.

- Define accountability roles for your organization.

 

You’ll Leave With:

- A Governance Checklist and Policy Template.

- Risk Mitigation Matrix.

- Slide deck and demo notes.

 

Who It’s For:

- Managers, directors, and boards overseeing digital tools and risk management.

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