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.

What this course covers

The course runs across 5 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.

AI as Assistive Technology: Capabilities and Opportunities — Explore how AI acts as a powerful assistive technology, enabling real-time translations, automated captions, and cognitive support.
The Risks of Exclusion in AI Systems — Examine how biased training data, lack of diverse representation, and algorithmic assumptions can create new barriers and exclude users with disabilities.
Inclusive Design Principles for AI — Learn the core principles of inclusive design and how to apply accessibility checklists to AI features and product workflows.
Scenario Exercise: Designing Inclusive AI Interfaces — Engage in a decision-making scenario to choose design paths that optimize AI interface accessibility and user control.
Scenario Exercise: Auditing Workflows for Exclusion — Evaluate a real-world AI deployment workflow, identify potential exclusion risks, and make corrective decisions to ensure equity.

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 intermediate level, and takes roughly 60 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 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 →
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.
Deepfakes & Misinformation Literacy — A practical defense course against synthetic media: detection heuristics, verification tools, and what to do when your organization is targeted. Learners practice on real examples of AI-generated deception.
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.
Responsible & Safe AI Assessment — Responsible & Safe AI: judgment on realistic workplace situations.
AI Ethics & Society — Fluency in AI's societal, legal, and ethical terrain

Frequently asked questions

How long does this course take?

It runs roughly 60 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-ACC.