January 15th, 2026 @5:30 PM – Dr. Kyle David on Safeguarding Privacy Across the AI Development Lifecycle

Register: This is a Hybrid meeting. A dinner meal will be served (Meal menu &pizza). REGISTER HERE for IN PERSON & ONLINE via MS Teams. Location: Microsoft Reston 11955 Freedom Dr., Reston, VA 20190
Location: Floor 2, Rooms 2.2C, 2.2D. Free garage parking directly across from location. Metro Station Accessible. In-person registration closes on Tuesday, January 13, 2026. Registrations received on January 14 and January 15, 2026 will be restricted to online participation via Microsoft Teams. No in-person attendance options will be available after January 13.

Abstract: As organizations accelerate adoption of artificial intelligence, protecting individual privacy must remain a central design principle throughout the AI system lifecycle. This presentation provides a practitioner-friendly walkthrough of the OECD’s AI System Lifecycle Framework, which identifies seven key stages—plan and design; gather and collect data; build and/or adapt models; test, evaluate, verify, and validate; deploy; operate and monitor; and retire/decommission. Each stage introduces distinct privacy threats and risk vectors, from consent and lawful basis challenges during collection to prompt injection and membership inference attacks during operation. Using real-world examples, this talk translates complex AI privacy risks into clear, actionable concepts accessible to non-AI and non-privacy specialists. Attendees will learn how to apply proven mitigations—such as privacy-by-design principles, differential privacy, data governance frameworks, and continuous monitoring—to ensure responsible AI development and deployment. Participants will leave with a structured understanding of how privacy safeguards can be embedded at every step of the AI lifecycle to strengthen trust, compliance, and accountability.

About the Speaker: Dr. Kyle David is the Founder of Dr. David, LLC, where he has provided industry-leading privacy and AI governance, audit, and security management training to more than 7,000 individuals across 122 countries.

In 2021, after completing his doctorate at the University of California, Irvine, Dr. David joined the U.S. Department of Energy (DOE) via the Presidential Management Fellows program. In the Office of Privacy Management and Compliance, he led the Department’s privacy workforce development efforts, which included designing and directing courses on the foundations of Federal privacy, risk management, and data visualization. In the AI space, Dr. David developed and delivered an AI literacy course, drafted the privacy module for DOE’s AI Impact Assessment, and helped to stand up EnerGPT, the Department’s internal chatbot powered by Gemini Flash 2.5.

In addition to his Ph.D., Dr. David possesses five IAPP certifications and designations, including the Certified Information Privacy Professional / United States, Certified Information Privacy Professional / Europe, Certified Information Privacy Manager, AI Governance Professional, and Fellow of Information Privacy. Dr. David is an Associate of ISC2 and has recently passed ISACA’s Advanced in AI Security Management exam.