This roundtable delves into the challenges and strategies for safeguarding privacy within the rapidly evolving domains of artificial intelligence (AI) and emerging technologies. Experts will explore the latest advancements in privacy-enhancing technologies (PETs) and frameworks crucial for developing new tech that prioritizes user privacy while protecting both algorithms and data
Sal Kimmich
Sal Kimmich is the Technical Community Architect for the Confidential Computing Consortium (CCC), where they bring together over a decade of expertise in computational architecture and cybersecurity. They started their career sharing Python scripts with other computational neuroscientists in the wild world of supercomputing. A decade later, they are still paying attention to the algorithmic side of open source tech. Before joining CCC, Sal worked as a scalable SecDevOps Machine Learning engineer and brought those contributions to the Cloud Native Computing Foundation (CNCF) and the Open Source Security Foundation (OpenSSF). They have focused on practical automation around security best practices like Security Slams. Sal aims to make maintainers’ work rewarding, to create tech demos that dazzle, and to showcase the world-class Open Source Projects for Confidential Computing and beyond.
