Andre and Liam chat about the role of cause and effect in AI and how difficult a problem that is to solve.
They also discuss regulation in AI and why Andre & the team believe it’s a beneficial step for the industry as a whole, as well as the importance of intrinsic explainability in this context. Andre also wrote about the topic of AI regulation in this paper.
Finally, Andre describes what it takes to be a data scientist and what skills causaLens are looking for.
Listen to the podcast recording here.