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.

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.

Mapping the Global AI Regulatory Landscape — Overview of the fragmented global approach to AI governance. Analyze key jurisdictional differences and the strategic importance of building a unified compliance framework.
The EU AI Act: Risk Classification Decisions — Evaluate AI applications under the EU AI Act's risk tiers (Unacceptable, High, Limited, Minimal). Features a scenario-based exercise classifying complex enterprise AI use cases.
EU AI Act: High-Risk Obligations and Conformity Assessments — Deep dive into the compliance requirements for high-risk AI systems, including data governance, technical documentation, logging, and human oversight.
The US AI Regulatory Landscape: Federal Frameworks and Executive Actions — Analyze the US approach to AI regulation, focusing on the White House Executive Order on AI, the NIST AI Risk Management Framework, and emerging federal agency enforcement.
US State-Level AI Legislation and Enforcement — Navigate state-specific AI laws (e.g., Colorado, California) concerning consumer privacy, profiling, and automated decision-making. Features a scenario-based exercise on regional compliance trade-offs.
Sector-Specific Rules: Financial Services and Healthcare AI — Examine strict sector rules governing AI in finance (SEC, FTC, credit scoring) and healthcare (FDA, HIPAA). Learn to balance innovation with sector-specific safety and transparency mandates.
Sector-Specific Rules: HR, Employment, and Algorithmic Bias — Analyze regulations targeting AI in hiring and employment (e.g., NYC Local Law 144). Features a scenario-based decision exercise on mitigating bias and auditing automated employment decision tools.
Designing an Organizational AI Governance Framework — Translate regulatory requirements into internal corporate policies. Establish roles (e.g., AI Ethics Board), define acceptable use policies, and build inventory registries for enterprise AI assets.
Conducting AI Algorithmic Impact Assessments (AIAs) — Step-by-step methodology for executing impact assessments and risk audits. Features a scenario-based exercise where learners must mitigate identified risks in a third-party vendor AI tool.
Managing Cross-Border Compliance Conflicts — Resolve operational friction when deploying AI systems globally under conflicting EU, US, and sector-specific jurisdictions. Features a scenario-based decision exercise on cross-border data flows and model alignment.

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.

Who it is for

All employees, leaders. The material is pitched at advanced level, and takes roughly 120 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 AI Ethics, Policy & Society 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 exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a quiz 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 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.
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 Ethics & Society — Fluency in AI's societal, legal, and ethical terrain
What AI Regulation Means for My Job Pathway — Grow from everyday awareness into working knowledge of the global rules.

Frequently asked questions

How long does this course take?

It runs roughly 120 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 ETH-REG.