[Train-the-Trainer Programme] AI Training

Module 1 begins with a brief history of AI, the basics of how AI functions and an overview of common AI tools, and use cases, with a focus on generative AI. It provides an introduction to AI limitations and risks, as well as the principles of ethical AI and the importance of human oversight.

Module 2 looks at selecting generative AI tools for an enterprise or activity, including exploring common use cases for improving productivity, evaluating the use of generative AI for specific tasks, understanding the role of human oversight and undertaking a risk assessment for deployment.

Module 3 covers prompt engineering techniques for generative AI, including using generative AI effectively, creating clear prompts, analysing outputs and refining prompts, specific techniques and implementing guardrails for safe use.

Module 4 introduces the principles of responsible AI, including the Australian AI Safety Standard and the Australian Privacy Principles. It involves identifying AI harms (individual, societal and existential) and understanding privacy risks, issues of equity and the bias inherent in LLMs. It considers the role of AI accountability across the entire AI lifecycle.

Module 5 considers how to stay on top of developments in AI and related technologies, including developing approaches to responsible, safe and effective AI development and deployment. It covers strategies for staying knowledgeable, encouraging innovation and building an adaptive approach to AI accountability