Web Conference: Understanding Machine Learning Technology and Developing A Risk-Based Approach

This web conference was a part of the IAPP European Data Protection Intensive Online 2021.  

Original broadcast date: June 2, 2021

The rapid expansion of Machine Learning (ML) technology has raised questions regarding ethics, trust, and privacy risks. But what developments should we expect in the future? How should you review privacy notices and conduct assessments regarding your legal basis to process personal data in connection with ML products? What if you receive data subject rights requests involving ML? This session covers the basics of ML technology, how to best review day-to-day ML products for GDPR compliance and how to develop a toolkit for ethical and accountable ML within your organization. Learn how you can leverage the GDPR’s accountability principle to assess the privacy risks of ML solutions and conduct DPIAs. You will hear the perspectives of regulators and engineers in the industry, and gain clarity on relevant legal requirements.

Host:
Dave Cohen, CIPP/E, CIPP/US, Senior Knowledge Manager, IAPP

Panelists:
Anna Pateraki, CIPP/E, Senior Associate, Hunton Andrews Kurth
Richard Tomsett, Senior Applied Scientist, Onfido
Giorgia Vulcano, CIPP/E, EU Privacy Counsel, Coca-Cola Europe
Thomas Zerdick, Head of Unit, IT Policy, European Data Protection Supervisor