COURSE PREVIEWAbout this course
This course contains the use of artificial intelligence. AI tools are used in the production of this course, including AI-assisted speech delivery based on the instructor's own voice. All content, demonstrations, workbooks, and prompts have been personally designed, reviewed, and verified by the instructor to ensure accuracy and practical value.
AI is already part of your workday — whether you're drafting in ChatGPT, analyzing in Microsoft Copilot, or reasoning through a problem with Claude. But most organizations are still trying to govern these tools with rules written for a different era of technology. This course closes that gap.
AI Governance and Ethics is a practical, no-jargon introduction to using AI responsibly — designed for every employee, not just legal, compliance, or technical teams.
In this course, you'll learn how to:
Understand what AI governance actually means in 2026, and why old frameworks don't cover tools like ChatGPT, Claude, and Copilot
Apply core principles — transparency, accountability, fairness, and human oversight — to the AI tools you already use every day
Recognize everyday risks, including data privacy issues, bias, fabricated information, and prompt injection
Know what data is safe to share with AI, and what should never be pasted into a prompt
Write clearer, safer prompts and critically review AI-generated content before using it
Understand key regulations, including the EU AI Act, explained in plain language
Learn visually, not just in text. This course draws on the AI Governance and Ethics Visual Reference — a companion guide that pairs a clear visual with the essential point behind it on every page, covering:
Governance principles and lifecycle controls
Data privacy, security, and content authenticity
Prompting, agents, and human oversight
Risk, incident management, and enterprise operating structures
No technical background, coding experience, or prior governance knowledge is required. Just bring your everyday experience with AI tools and a willingness to think critically about how you use them.
By the end, you'll have the judgment and practical habits to use AI safely, responsibly, and with confidence — whatever your role.
What you'll learn
- Understand what responsible AI use means in 2026 and why old rules don't cover tools like ChatGPT, Claude, and Copilot
- Recognize the everyday risks of using AI at work, from data privacy to bias to fabricated information
- Recognize the everyday risks of using AI at work, from data privacy to bias to fabricated information
- Apply core AI ethics principles — transparency, accountability, fairness, and human oversight — to your own AI use
- Know what data is safe to share with AI tools, and what should never be pasted into a prompt
- Spot AI-specific security risks like prompt injection, data leakage, and unsafe agent behaviour
- Write safer, more effective prompts and critically review AI-generated content before using it
- Understand key AI regulations, including the EU AI Act, and what they mean for everyday users
- Build the habits and judgment needed to use AI responsibly, whatever your role or industry
Before you begin
- No prior AI, legal, or compliance experience required — this course explains every concept from the ground up.
- Just bring your everyday experience using tools like ChatGPT, Claude, or Microsoft Copilot at work — even casual, occasional use is enough.
- A willingness to think critically about how AI is used in your role, whatever your job title or department.
- No technical or coding background needed — this course focuses on judgment, policy, and everyday practice, not engineering.
Who this is for
- Any employee who uses AI tools like ChatGPT, Claude, or Microsoft Copilot at work — even just occasionally — and wants to use them responsibly and safely.
- Managers and team leads who need to guide their teams on acceptable AI use, without needing a legal or technical background.
- HR, legal, compliance, IT, and risk professionals looking for a practical, non-technical foundation in AI governance before diving into specialized frameworks.
- Business owners and decision-makers who want to understand what responsible AI adoption looks like across an organization.
- Anyone curious about the ethical, legal, and practical issues raised by generative AI — no prior governance, compliance, or technical experience needed.
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