I have a confession to make. Although I studied physics (I loved maths, but more importantly, useful maths) and computer science (a long-time hobby turned profession), I once dreamed of becoming a lawyer. ๐ I was the best debater at my university and even competed nationally. Some of my favourite books include jurisprudence and constitutional law ๐.
Thatโs why Iโve always had a soft spot for regtech and lawtech conferences. So it was an absolute delight to deliver the ๐๐ฅ๐จ๐ฌ๐ข๐ง๐ ๐ค๐๐ฒ๐ง๐จ๐ญ๐ ๐๐ญ ๐ญ๐ก๐ ๐๐ง๐ง๐ฎ๐๐ฅ ๐๐๐ฐ๐ญ๐๐๐ก ๐๐จ๐ง๐๐๐ซ๐๐ง๐๐ ๐จ๐ง โ๐๐๐ฏ๐ข๐ ๐๐ญ๐ข๐ง๐ ๐ญ๐ก๐ ๐๐ ๐
๐ซ๐จ๐ง๐ญ๐ข๐๐ซ: ๐๐ฉ๐ก๐จ๐ฅ๐๐ข๐ง๐ ๐๐ซ๐ฎ๐ฌ๐ญ๐ฐ๐จ๐ซ๐ญ๐ก๐ฒ ๐๐ง๐ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ฅ๐ ๐๐ ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐
๐ฎ๐ฅ๐ฅ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ.โ
I reworked my usual content into a new set of myths and facts around the value of human expertise, proprietary data, and human controlโhighlighting system-level approaches to reclaim control even without full mastery of the models.
The keynote came just a day after National AI Centre released the AI Safety Standard, where CSIRO’s Data61 played a significant role, and the launch of consultations on regulatory guardrails. The vibe and thoughtfulness in the room, filled with experienced lawyers and technologists, were incredible ๐ค.
Iโve shared a few selected slides from my talk. ๐ hashtag#Lawtech hashtag#AI hashtag#ResponsibleAI hashtag#Regtech
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