AI Fundamentals & Application
Key Questions
What are the foundational principles and technologies behind AI and LLMs?
How can AI and LLMs be leveraged to enhance public service delivery?
Should we buy vs build vs adopt?
Should we go with GovTech/OGP products, build ourselves, or approach a vendor?
What are AI agents and what are the benefits/costs of agentic workflows?
What training or skills are necessary for public sector employees to work effectively with AI?
What are 'Hallucinations' and why does the AI sound so confident when it is wrong?
Why shouldn't I paste sensitive meeting minutes into ChatGPT?
Learning Objectives
Learning Objectives
Track your progress as you learn
Hard Truths
The AI genie is out of the bottle, there's no return to life before it.
Given the ongoing hype train for AI, it's tempting to use AI for the sake of it, but that'd be a huge L.
Focus on solving a meaningful problem, not the hype.
AI user interfaces and workflows are not necessarily (and can often be contrary to) good UX.
Simple applications of ML might be far more useful for everyday problems, as is straightforward improvements to how we organize info, design websites instead of pushing for a chatbot.
LLMs are confident liars. They do not know facts, but instead they predict the next statistically likely word. Trusting them for factual accuracy without verification is dangerous!.
AI won't replace you; a person using AI will replace you. But only if you actually learn how to prompt it correctly.