AI, Governance and Decision-Making: Practical Implications for Business

About this course

The course examines how generative, explainable and agentic AI systems affect organisational decisions, including recruitment, customer interaction and operational processes. Learners consider bias, fairness, transparency, accountability, human oversight and ethical dilemmas in business settings. Teaching combines tutor-led explanations with case-based learning, practical evaluation of AI outputs, group exercises, structured debates and guided reflection. Activities focus on assessing risks and applying critical judgement to workplace scenarios rather than simply using AI tools.

What you'll learn

• Explain how AI systems can influence decisions in organisational contexts
• Identify risks including bias, limited transparency and over-reliance on AI
• Describe governance, accountability and human oversight considerations
• Evaluate AI outputs in workplace scenarios
• Apply critical judgement to responsible AI use in professional settings

Is this course right for you?

The course is intended for learners with some prior familiarity with AI, such as experience from an introductory or intermediate course. No technical expertise is required, but participants should be comfortable contributing to discussion, group exercises and practical, scenario-based activities.

• Some prior familiarity with AI is expected
• No technical expertise is required
• Participation includes discussion, group exercises and structured debates

Before you go

• A personal email account is needed to register for and access online platforms used during the course.
• Computers are provided. Learners may bring their own laptop if they prefer to access their accounts and save work directly to their device.
• Learners not bringing a laptop should have a USB memory stick or access to cloud storage for saving and transferring work.