AI & Machine Learning

FPF Member Training: Launching AI Products Responsibly

May 20, 2026 @ 12:00PM ET
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Overview
Speakers

Overview

Join us for the next complimentary FPF member training on Launching AI Products Responsibly, taking place May 20 from 12:00pm – 1:00pm ET.

As AI becomes part of ordinary business and product development, organizations face a practical and evolving set of legal, privacy, and compliance questions around AI products and internal AI tools. For practitioners, the challenge is not only keeping up with new developments, but understanding how to evaluate AI products before launch, how to identify the questions that matter most in practice, and when a product may require closer review. This includes assessing what the product does, what data and outputs shape the user experience, what claims are being made, and how context affects the level of scrutiny a launch may warrant.


In FPF’s training on Launching AI Products Responsibly, participants will:

Understand how AI product review works in practice: learn how to assess both customer-facing AI products and internal AI tools before launch;

Identify the questions that matter most before launch: examine how product function, data use, outputs, claims, and context shape legal, privacy, and compliance review; and

Recognize when a product may require closer scrutiny:  explore when additional testing, documentation, controls, or escalation should be considered before launch.

Register here to attend this live training webinar for FPF members. For questions, email [email protected].

Speakers

Tanya M. Richardson

Senior Fellow, FPF

Tanya M. Richardson is a senior privacy and technology lawyer who works across consumer technology, youth privacy and safety, and the governance of data-driven and automated systems. She has held senior legal and privacy leadership roles at Snap and Uber, advising on consumer-facing technologies deployed across both digital and physical environments. She served as General Counsel and Chief Privacy Officer of a cybersecurity firm, advising on data governance, security, and regulatory risk across data-intensive systems. At Snap, she led the legal function for the teams responsible for wearable, sensor-enabled, and AI-powered consumer products.

Her work centers on how privacy by design, consent, accountability, and user safety operate across product development and deployment, particularly as systems increasingly rely on automation, inference, machine learning, and related AI capabilities. Her work involves live, continuously evolving products, including novel product categories and contexts involving teens and children, non-users, sensitive data, and new uses of existing data.

Her work is shaped by partnership with engineering, product, policy, and trust and safety teams. She has served on the IAPP Advisory Board and has spoken for IAPP, Bloomberg Law, and the American Bar Association.