Responsible AI In Practice

🧠 Course Title:

AI in Practice: Understanding Responsible Use, Privacy, and the EU AI Act

📘 About this course

This short online course is designed to help individuals and organisations in the Isle of Man build a clear and practical understanding of how to use AI responsibly.

You don’t need to be technical or work in a large company — this course is for anyone who wants to feel more confident using AI at work, while staying aware of key legal, privacy, and security considerations.

We’ll keep things jargon-free, neutral, and practical, with simple tools and tips you can take away immediately.

👤 Who is this course for?

This course is designed for:

• Small business owners and team leaders

• HR professionals and operations managers

• People using or exploring AI tools in their day-to-day work

• Anyone responsible for digital tools or decision-making in a business setting

🎯 What you’ll learn (learning objectives)

By the end of this course, you’ll be able to:

• Understand what AI is — and what it isn’t

• Recognise basic principles for responsible AI use

• Identify where privacy and data protection intersect with AI tools

• Be aware of the EU AI Act and what it may mean for Isle of Man organisations

• Take simple, practical steps to use AI more safely and confidently

• Know when to seek further advice or support, especially for higher-risk AI applications

📚 Course Structure

1. Introduction – Understanding AI & Responsibility

• What AI tools do (and don’t do)

• How they’re already used in everyday work

• What “responsible AI use” means in practice

• Key principles to stay informed and cautious without fear

2. The EU AI Act – Key Points Simplified

• What the Act is and how it works (risk-based approach)

• Why it may still apply to Isle of Man businesses

• Examples of high-risk, low-risk, and prohibited AI uses

• Timelines, key obligations, and when to ask for advice

3. Privacy Thinking – Protecting Data

• Why privacy matters in AI systems

• Where GDPR and AI intersect

• How to reduce risks when handling personal or business-sensitive data

• Questions to ask before using any AI tool

4. Security Thinking – AI Safety

• Common security concerns in everyday AI use

• Safe habits for general users and tech teams

• What to do if something goes wrong

• Simple checklists to support responsible adoption

5. Implementing AI Safely – Action Plan

• First steps to map and document your AI use

• Optional checklists and logs to support transparency

• Knowing when to seek extra help

• Preparing for future changes in regulation

6. Wrap-up and Next Steps

• Summary of key ideas and what you’re not expected to do

• FAQs and common concerns

• Links to trusted resources and local support

• Feedback and reflection