Extract from Celia O’Brien’s article “Debunking AI Myths with AI Visionary Aurélie Jacquet”
The buzz around AI can make it difficult to discern the reality of the technology (and its implantation) from the hype. Fortunately, there are some very bright minds in the legal world who are way ahead of these questions—and ready to help us all answer them.
Our chat with AI Visionary Aurélie Jacquet fills you in on everything you need to know, from what people are getting wrong about AI to why it’s so important to get it right. She’s squashing the AI myths left and right. Let’s dive into some of the juicy ones.
Myth #1: AI is Bad
Aurélie believes that AI isn’t good or bad—it just is. “We still have this conversation where ‘AI is good’ or ‘AI is bad.’ But AI is what we make of it.”
No doubt there’s risk involved in advanced technology, but it is particularly important that we make sure we understand it to stay in control. Aurélie made a flourishing career out of AI, one that allows her to wear several hats.
In 2018, when AI was still fresh in the world, she pushed for best practices to be put in place to help organizations understand how to use the technology correctly. She wrote the proposal for Australia to develop standards on AI. That’s how she became the chair of the Australian Standards Committee, which is now participating in the development of international standards on AI. She’s also an independent consultant and a principal research consultant for CSIRO’s Data61, an expert for the OECD and the Responsible AI Institute, part of the AI National Expert Group, and on the advisory board of the UNSW AI Institute.
