Data privacy in the age of AI - Shalini Kurapati, Clearbox AI

This event is part of a series of talks organized by Machine Learning Milan and was recorded during the following event: https://www.meetup.com/it-IT/machine-... “Data can either be useful or perfectly anonymous but never both” - Paul Ohm Most AI models based on Machine Learning are data intensive, and often have to use personal or privacy sensitive data for training. With GDPR already regulating the use of personal data in AI models for automated decision making, and the upcoming AI act, it’s easy to get overwhelmed and miss the actual point, that is, the relationship between data privacy and AI. Privacy and AI go beyond just data protection, and security, and also have significant ethical and societal implications. In this talk I will throw light on the importance of understanding this relationship not just from a regulation perspective but also to have a future proof strategy to set up privacy-by-design processes to efficiently use data for AI in a responsible and secure manner. Shalini Kurapati, Clearbox AI Shalini is the co-founder and CEO Clearbox AI, a synthetic data company. She has a multi-disciplinary and international research and professional experience in data privacy, ethics and stewardship. She is also a Certified Information Privacy Professional/Europe (CIPP/E)