Final project
Platform
Technology governance
AI governance in organizations
How to create rules, roles and processes for responsible AI use.
The course guides participants through basic AI governance: roles, risks, use register, acceptance criteria and rule updates.
Intermediate 3.5 h AI governance
Language versions PL EN UA FR
Overview
About this course
The course is designed as a practical online path: short modules, examples, implementation materials and a clear final outcome.
Participants finish with a simple AI governance model that can become an organizational policy.
4
modules
1
policy draft
4
language versions
What you will learn
AI in an organization needs owners, rules and decision rhythm.
Map AI use cases in an organization.
Set roles and responsibilities.
Prepare tool acceptance criteria.
Design a review rhythm for rules.
Skills
Course information
AI use mapRoles and accountabilityRisks and criteriaPolicy and updatesAI use registerResponsibility matrix
Syllabus
Course modules
01 AI use map
Online module
AI use map
Online module
How to collect and describe current and planned uses of tools.
02 Roles and accountability
Online module
Roles and accountability
Online module
Who decides, who supervises and who is accountable for outcomes.
03 Risks and criteria
Online module
Risks and criteria
Online module
How to assess tools, data, vendors and human control.
04 Policy and updates
Online module
Policy and updates
Online module
How to keep rules simple, current and used in practice.
Best for
Who this path is for
Executives and leaders
Digital transformation coordinators
Legal and compliance teams
Included
- AI use register
- Responsibility matrix
- Policy template
- Completion certificate
AI governance
Course access
The course can run as individual access, a partner path or a closed institutional program.