Privacy Everywhere 2024 - Privacy Implications in the New World of AI

From Sheena Bishop 2/16/2024

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AI by way of ChatGPT and other Large Language Models have captured the attention of all of us over the past year or so. What are the important privacy considerations in this new landscape? What does AI governance actually mean? The goal of this discussion will be to focus on the unique privacy challenges presented by AI and how to best embrace this technology while implementing realistic guardrails.

Jay Averitt is currently a Senior Privacy Product Manager at Microsoft, where he manages Technical Privacy Reviews involving M365 CoPilot, GPT, and other LLM products. He was previously a Privacy Engineer at Twitter, where he managed technical privacy reviews across the platform. He has 10+ years of experience in privacy as both a privacy technologist and a privacy attorney. He graduated with a BS in Management Information Systems from Auburn University and a JD from the University of Alabama School of Law.

Saima Fancy is a passionate Privacy and Security Evangelist. Her professional background and work is cross-cutting across various disciplines ranging from Data Privacy and Security, Engineering, Health Law and Policy and AI privacy and ethics. She leverages her diverse experiences and perspectives and funnels them into her passion – the interdisciplinary field of Privacy Engineering.  Currently, Saima is a Senior Privacy Specialist at Ontario Health. Previous roles include: Privacy Engineer at Twitter and Senior Privacy Advisor at Telus Health.  During her free time, Saima volunteers as Faculty Council at the University of Toronto Faculty of Engineering, NIST Privacy Workforce Public Working Group (Risk Assessment), IAPP and mentors engineering students and those pivoting their careers to privacy and cybersecurity. She presents at various IAPP, WiCYS and (ISC)2 events (amongst others). Additionally, she guest lectures at the University of Toronto.

Tags: privacy

Appears In: 2024 Privacy Everywhere Conference (Campus)2024 Privacy Everywhere Conference (Public)

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Privacy Everywhere 2024 - Privacy Implications in the New World of AI

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