AI Foundations: How LLMs Work
What a large language model is actually doing when it writes, why context changes meaning, what "reasoning" really means, and how an AI assistant builds a document.
Training Data: How AI Learns
How models acquire and process training data, the landmark copyright cases now working through the courts, why AI hallucinates, and how to protect your own data.
Images and Video: How AI Sees
How multimodal vision-language models actually "see" and analyse images, a vintage-hardware case study comparing leading models, and what it opens up for teaching.
Agentic AI
The shift from AI that answers to AI that acts: the alignment problem, agentic browsers, open-source agents, vibe coding, and how to keep humans in the loop.
AI Fears and Fun
How people really use AI, the alignment problem, chain-of-thought reasoning, AI misbehaviour and how we monitor it, the black box problem, and running out of data.
Our Academic Integrity Challenge
Why AI detection tools fail, why AI use statements work better, how to reform assessment, and where Australian universities stand.
AI Law and Regulatory Order
How AI is governed, globally and in Australia: ethics principles, the Voluntary AI Safety Standard, deepfake law, the EU AI Act, and Indigenous data sovereignty.
CDU Generative AI Policy
A plain-language guide to the University's Generative Artificial Intelligence Policy and the related ICT, privacy, security and copyright policies.