AI & Data Regulations: Key Insights, Strategies, & Technologies for Growth

New laws and standards around the world are defining responsible, secure, and trustworthy AI (E.g., USA - EO on AI, NIST Gen AI, UK AI Act, EU AI Act, etc.). This webinar will discuss the impact of recent developments and trends on corporate data and AI strategies as well as the role of PETs in these new regulations and frameworks. Learn how regulators and business leaders are embracing new technologies to accelerate growth while satisfying modern data and AI regulations. - Regulatory Overview - The merger of data, AI, and sec ops - What regulators are recommending - How new privacy technologies (PETs) satisfy regulations & accelerate growth ABOUT THE PANELISTS: *Daniel J. Weitzner* is the Founding Director of the MIT Internet Policy Research Initiative, holds the 3Com Founders Senior Research Scientist chair at the MIT Computer Science and Artificial Intelligence Lab, and teaches Internet public policy in MIT’s Electrical Engineering and Computer Science Department. Weitzner was the US Deputy CTO for Internet Policy in the White House, leading initiatives on privacy, cybersecurity, copyright, and digital trade policies promoting the free flow of information. *Paul Comerford* is a Principal Technology Adviser at the UK Information Commissioners office (ICO). The ICO is responsible for regulating data protection law (and other laws). Paul previously worked in academia as a lecturer in Computer Networks and Cyber security. Since joining the ICO in 2018, he has led the development of UK GDPR guidance on anonymisation, pseudonymisation, and was the lead author of ICO PETs guidance published in 2023. *Caroline Louveaux* is the Chief Privacy & Data Responsibility Officer for Mastercard driving Privacy and Data Responsibility Strategy; leading the global teams responsible for privacy, data and AI governance, in terms of legal compliance, policy and regulatory engagement as well as data management, governance and platforms.