Beginners Guide to AI
Learn the basics of AI, its applications, and how it can be a force for good in society. This is a beginners guide to Artificial Intelligence suitable for all learners.
Learn moreWe champion the use of artificial intelligence to solve real-world challenges improving lives, protecting the planet, and building a brighter future for everyone. Proudly focused on impact across Aotearoa New Zealand.
Free AI learning resources to help you learn and apply AI for social good. The learning collections below are designed for beginners, technologists, and educators in collaboration with the AI for Good community.
Learn the basics of AI, its applications, and how it can be a force for good in society. This is a beginners guide to Artificial Intelligence suitable for all learners.
Learn moreExplore how generative AI and large language models are transforming industries. This collection provides the fundamentals from a technical point of view.
Learn moreLearning pathways for tertiary educators exploring AI literacy and cultural integrity created by Mātauranga Māori.
Learn moreCurated projects delivering real-world impact across Aotearoa.
A transparent NZ sector-calibrated policy sandbox for testing AI policy tradeoffs under uncertainty. Covers all 19 sectors of the New Zealand economy with three policy scenarios.
AI for Good New Zealand
New Zealand's first high school hackathon club, bringing teens together to build, ship, and share real software in 12-to-24-hour hackathons.
KiwiHacks
A practical exploration of how AI is applied to global challenges in sustainability, humanitarian action, and health.
Microsoft AI for Good Lab
Updates, events, and milestones from the AI for Good community.
Bogdan State
Bogdan State brought the view from inside the work: thirty years of writing software, and a year spent building alongside an AI coding assistant. His account was refreshingly grounded, and more useful for it.
Martin Kay
Martin Kay has watched the same pattern repeat for decades. A new technology arrives, and suddenly every strategy is rebuilt around it. His message at AI for Good Wellington was a useful corrective: AI is a technology you put to work behind a strategy, not the strategy itself.
Michelle Burke
Michelle Burke put a question on the table that is hard to set down. Expertise is built by doing imperfect work. If AI now absorbs exactly that layer of work, where does the next generation of experts come from?