Tvrtko Tadić

Tvrtko Tadić is an Applied Scientist in Microsoft Search, Assistant and Intelligence, a division that supports search and other intelligent solutions for Office 365. He graduated from the University of Zagreb and earned his PhD from the University of Washington in Seattle. Throughout his career at Microsoft, Tvrtko has contributed to projects involving Bing Maps and local search, the digital assistant Cortana, knowledge mining, and graphs induced by connections in Office 365. Currently, he focuses on supporting advanced file search for M365 Copilot.  Additionally, he is a Visiting Scientist at the University of Washington and a board member of the Croatian Mathematical Society. 

Privacy in the AI Era 

Privacy is a topic that garners much discussion, yet the intricacies and challenges it presents are often not fully understood within the professional community. The distinction between privacy and security is crucial, yet commonly overlooked. A breach in privacy can have dire consequences, exposing vulnerable individuals to potential harm. For businesses, it can erode the competitive advantage, potentially leading to their downfall. This presentation will explore the development of privacy over time, highlight the dangers of linkable data, and emphasize the critical role of disclosure control. We will examine various definitions and metrics of privacy. Concluding, we will integrate these concepts within the context of the AI era.