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Event Date | Wed Jun 5 EDT (6 months ago) |
Location |
TBA
New York City, USA |
Region | Americas |
A comprehensive look into how organizations can audit their AI models for bias, performance, and adherence to ethical standards. AI auditor execs at two major companies reveal their methodologies in real use cases. Please note that the details of the event are subject to change, and it’s always a good idea to check the website for the most accurate and up-to-date information. A comprehensive look into how organizations can audit their AI models for bias, performance, and adherence to ethical standards. AI auditor execs at two major companies reveal their methodologies in real use cases. In this salon event, you will learn how to conduct an AI audit for your own models, what are the best practices and tools to use, and what are the benefits and challenges of AI auditing.
You will also have the opportunity to network with other enterprise technical executives who are interested in AI auditing, and share your own questions and ideas.
Whether you are new to AI or already have some models deployed, this salon event will help you learn how to audit your AI models effectively and efficiently. Don’t miss this chance to learn from the best and connect with your peers!
2024 Speakers
Michael Raj
Vice President of Network Enablement (AI & Data), Verizon Communications
Matt Marshall
CEO & Editor-in-Chief, VentureBeat
Rebecca Qian
Co-founder & CTO, Patronus AI
Justin Greenberger
SVP of Client Success, UiPath
Carl Franzen
Head of News, VentureBeat