
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 particip





