Janelle Hsia & Nicole Nguyen
Janelle Hsia, Founder and President of Privacy SWAN Consulting
Janelle is focused on privacy and data protection and brings a diverse background with strong leadership, technical, and business skills spanning over 20 years. Because she is not a lawyer, she brings a unique perspective to integrating privacy with security and technology, which helps companies operationalize their privacy requirements. She is an IAPP Official Training Partner, an Institute of Operational Privacy Design Founding Board Member, an ISSA Privacy SIG Tri-Chair, the Crossroads School Board President, and an IEEE Digital Privacy Initiative member. She is also a member of CSA, ISACA, and PMI. She holds the following certifications CIPM, CIPT, CIPP/US/E, CDPSE, CISA, PMP, and GSLC. She is a frequent speaker at local and national events and a past guest of the Colorado=Security Podcast.
Nicole Nguyen, Senior Data Privacy Analyst at Janus Henderson
Nicole Nguyen is an enthusiastic privacy professional, deftly bridging technology, business, and law. Beginning in intellectual property and patent prosecution, she gained practical legal insights and technical acumen, which she later applied to data privacy across various regulated industries. She honed her skills across operations, regulatory analysis, and engineering, to streamline data handling, shape privacy policies, and drive privacy-by-design principles. Recognized for her leadership and technical prowess, Nicole guides strategic decisions, resolves complex issues, and bolsters business resilience. Her passion lies in crafting comprehensive data governance programs, weaving security, privacy, and risk disciplines into robust frameworks that safeguard business value and promote a future-ready, privacy-conscious culture. B.S. Chemical and Electrical Engineering and M.S. Information Systems, Cybersecurity and Business Intelligence
SPEAKING TOPIC: Are you smart enough to use AI?
Today Artificial Intelligence (AI) can be the dividing line between who gets help and who is left behind. An algorithm can not only be racist and decide who deserves what, but it can also lie faster and more convincingly. We will explore the following areas with a deep dive into how companies utilize AI by extracting personal data and impacting our everyday lives. We will analyze these technologies and review some unintended consequences and privacy harms like economic loss, social stigmatization, loss of autonomy, and discrimination that can be caused without careful implementation.
· Content generation
· Use of biometric data
· Prediction systems with legal implications
We will provide considerations regarding whether or not to integrate AI into your tech stack or engage in 3rd party services to perform the tasks for you.