Privacy-enhancing technologies (PETs) are designed to mitigate privacy risks in digital systems. When applied to data analysis, PETs can help strike a balance between protecting individual privacy rights and supporting companies' economic interests. However, for PETs to truly improve the landscape of corporate data-sharing practices, they must also foster trust among those whose data is being shared.  Hear from Bailey Kacsmar on the development of privacy enhanced data analysis techniques, the implications on user perspectives of the space, and the ongoing work towards the development of accessible human-centred private data analysis techniques and protocols.

Space is limited. Registration will close when the event reaches capacity, or on April 22, 2025.