Panel: Responsible AI for sensitive data processing

AI has arrived precisely where the data is most sensitive: patient records and clinical data, candidate assessments and performance reviews, client files and privileged advice. The tools promise speed, but the underlying data is regulated, confidential, or both and "We'll sort it out later" has stopped being a defensible position. This is why we're hosting a panel bringing together four participants who work with sensitive data and AI every day: They'll discuss privacy and AI governance across regulated markets, what compliant-by-architecture actually means and what it costs, why the legal and compliance risks are typically being underestimated, and how to get the groundwork right from the start. The panel will be moderated by Aliena Trefny, Junior Associate, LEXRWhether you're building on sensitive data, advising on it, governing it, or investing in companies that do, you'll hear from people doing that work at scale.Participants are invited to an aperitif after the panel.