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:
Efi Gkika, Chair, Previously Chief Privacy Officer, Baxter, and Chair of the MedTech Europe Privacy Committee
Executive with key focus on Compliance Privacy-Cyber and AI governance in life-sciences. When the data is patient data, the rules differ across markets, and the privacy office needs to be a partner to the business rather than a brake on it.Carol Constant, Founder & CEO, WhomLab
Behavioral data in executive and board hiring. What gamification-based assessment adds beyond the CV, and where the line runs between a better hiring decision and profiling a person.
Fabian Staub, Co-Founder & CEO, CASUS
Building a legal AI platform on confidential client files. Swiss hosting, zero data retention, traceable output. What compliant-by-architecture actually costs to deliver.
Audrey Canova, Managing Associate, LEXR
Advising health, biotech, and medtech companies that want to build on sensitive data. What founders underestimate when health data meets AI, and how to prepare.
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, LEXR
Whether 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.