Explainable AI and Agentic AI: Understanding, Trust and Decision-Making

Building on introductory knowledge of generative AI this course explores how artificial intelligence systems produce outputs and make decisions and how emerging “agentic” AI systems are beginning to act more autonomously.

The focus is on practical understanding. Learners will explore how to interpret AI outputs, identify risks such as bias and hallucinations and make informed judgements about when and how to use AI tools in everyday and workplace contexts.

Through demonstrations, hands-on activities and real-world examples the course develops confidence in working critically with AI rather than simply using it.

• How generative AI systems produce outputs

• AI as a decision-support tool

• AI hallucinations and limitations

• Explainable AI (XAI) and why it matters

• Bias and fairness in AI systems

• Introduction to agentic AI and autonomous systems

• Practical evaluation of AI outputs in real-world scenarios

• Responsible and effective use of AI tools