Why I study law and computing at the same time

Most people pick one. I could not, because the questions I find interesting sit exactly between the two. Who is liable when a model gives bad advice? What does "explainability" mean when a statute demands reasons for a decision? How do you regulate a system whose behaviour its own developers cannot fully predict?

Working in a pharmacy makes this concrete. Every script I help dispense moves through a chain of regulation: scheduling, storage, recording, counselling. The rules work because they were written for processes people can inspect. AI breaks that assumption, and the law is still catching up. That gap is where I want to work.

This blog will track what I learn along the way: case notes, AI regulation developments in Australia, and the occasional build log.