AI Governance, Risk & Compliance: Advanced

Leaders and risk partners learn to establish AI governance - policies, regulations, risk assessment, and auditing. The course covers the regulatory landscape including the EU AI Act and sector rules, policies and acceptable use, risk assessment, and auditing. Participants finish able to stand up governance that holds up.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

The Global AI Regulatory Landscape — Examine the current global regulatory environment, focusing on the EU AI Act's risk tiers, extraterritorial reach, and emerging sector-specific rules in finance and healthcare.
Drafting AI Policies and Acceptable Use Guidelines — Learn how to define permitted, restricted, and prohibited AI use cases within an enterprise, and establish clear guidelines for employee interaction with generative AI tools.
Scenario: Managing Shadow AI in the Enterprise — Navigate a realistic scenario where an department deploys an unauthorized, high-risk AI tool, balancing business urgency with compliance and policy enforcement.
AI Risk Assessment Methodologies — Master the frameworks for evaluating AI risks, including data privacy violations, algorithmic bias, security vulnerabilities, and intellectual property concerns.
Hands-on: Conducting an AI Algorithmic Impact Assessment (AIA) — Step-by-step practical exercise executing a standardized algorithmic impact assessment on a proposed predictive hiring engine using a compliance tool.
AI System Auditing and Explainability — Explore techniques for auditing AI models for fairness, drift, and performance, and establishing explainability protocols for automated decision-making.
Hands-on: Auditing a Model for Bias and Drift — Perform an audit using a model monitoring dashboard to identify demographic disparity and performance degradation, then document corrective actions.
Scenario: Responding to an AI Bias Incident — Lead the response to an audit finding that reveals systemic bias in a deployed loan-approval model, coordinating between engineering, legal, and public relations.
Establishing AI Governance Committees and Workflows — Design cross-functional AI governance boards, define roles (legal, engineering, risk), and integrate compliance checkpoints directly into the software development lifecycle.
Continuous Monitoring and Governance Maintenance — Implement ongoing monitoring strategies to ensure continuous compliance as regulations evolve and AI models adapt to new production data.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Responsible AI, AI Regulation & Policy, AI Governance, AI Risk Management, Data Governance for AI, AI Auditing, Ethical AI Frameworks.

Responsible AI
AI Regulation & Policy
AI Governance
AI Risk Management
Data Governance for AI
AI Auditing
Ethical AI Frameworks

Who it is for

Leaders, legal, risk, IT. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Category: Governance track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including branching scenario, guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

All Responsible AI training courses →
AI Regulation: Advanced — The Global Landscape — A working map of AI regulation worldwide - the EU AI Act, the shifting US picture, and sector-specific rules. Learners translate the landscape into concrete compliance implications for their organization.
AI & Accessibility — A course on AI's double edge for accessibility: powerful assistive capability and new ways to exclude. Learners apply inclusive-design checks to AI features and workflows they use.
IP, Copyright & AI-Generated Content — This course maps the intellectual-property landscape of generative AI: who owns output, the training-data disputes, and safe usage practice. Learners apply the framework to their organization's real content questions.
Privacy & Surveillance in the AI Era — This course examines what AI changes about privacy: personal data exposure, workplace monitoring, and an organization's obligations. Learners audit their own AI privacy posture and their team's.
Responsible AI & Ethics — Learners apply responsible-AI principles to everyday decisions and product choices. The course covers fairness and bias, transparency and explainability, privacy and consent, and accountability. Participants finish able to recognize and act on responsibility considerations in real situations.
Responsible & Safe AI Assessment — Responsible & Safe AI: judgment on realistic workplace situations.
AI Governance & Risk — Stand up policy, risk, and oversight for AI
Leadership & AI Strategy — Set direction and govern AI adoption

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code CAT-GOV.