Responsible AI, Governance and Data Management

Artificial Intelligence is becoming an increasingly important part of the modern workplace, helping individuals and organisations work more efficiently, make informed decisions and unlock new opportunities. However, successful AI adoption requires more than understanding the technology itself. It requires a clear understanding of how AI should be used responsibly, ethically and safely. 

In this course, learners will explore the foundations of responsible AI use with Microsoft Copilot. They will examine the importance of data management, information handling, human judgement, ethical decision-making, governance, regulation and sustainability. Throughout the course, learners will develop practical awareness of the responsibilities that come with AI adoption and discover how to apply responsible AI principles in their everyday work. 

By the end of this course, learners will understand how to use Microsoft Copilot with confidence while protecting information, maintaining trust, applying human oversight and aligning with organisational expectations. They will complete a Responsible AI Action Plan that translates learning into meaningful actions, helping to ensure their future use of AI remains responsible, secure, ethical and compliant. 

What you will learn:

• Why responsible AI starts with individual accountability
• How data quality and information handling affect AI outputs
• The importance of human judgement and human-in-the-loop decision-making
• Key ethical principles that support responsible AI adoption
• The role of governance, guardrails and risk management
• Why regulation and compliance matter in the evolving AI landscape
• Environmental and sustainability considerations associated with AI
• How to create a practical Responsible AI Action Plan for everyday use of Microsoft Copilot