AI Ethics & Responsible Use: A Practical Introduction

What you’ll explore

• Explain what AI ethics means in a professional context, identify the key ethical considerations (bias and fairness, privacy and data, transparency, accountability) and recognise real, documented harms from irresponsible AI use
• Apply a practical privacy test before inputting any information into an AI tool, understand why account type and the right to share matter, and use simple safeguards such as de-identifying and approved tools
• Recognise AI bias, explain where it comes from and how it affects outputs, and ask critical questions of any AI output that involves people
• Describe who holds accountability when AI-generated content causes harm, tell real human oversight from rubber-stamping, check confident AI answers against a source, and describe what honest transparency looks like
• Evaluate a workplace AI use case against the Responsible Use Framework, reach a reasoned verdict, and contribute meaningfully to your organisation's AI policy discussion

Who it’s for

Any professional who uses or is considering using AI tools at work Managers responsible for team adoption of AI tools HR, legal or compliance professionals beginning to work with AI governance Anyone who wants to use AI confidently and responsibly