Future of Data: Law, Technology and Policy
Date: Thursday, January 21, 2021
Time: 11:00 AM to 1:00 PM
Event Type: Seminar
Room Description: Virtual Lecture
Speaker URL: None
TALK: Future of Data: Law, Technology and Policy
A confluence of powerful data analytics, artificial intelligence, and global information platforms together with changing social attitudes about personal data are transforming both the policy and technology landscape. In this environment, data is a core strategic asset for a wide range of enterprises, and firms must increasingly navigate regulatory requirements, ethical best data practices, and the limitations of today’s data management platforms. We believe that there is an opportunity to help inform global discussions on these topics in a way that is both technologically informed and policy aware.
The MIT Future of Data, Trust, and Privacy initiative, developed by CSAIL and the MIT Internet Policy Research Initiative (IPRI), aims to bring state-of-the-art MIT computer science research together with world-leading public policy expertise and engagement in order to achieve key goals, such as:
-Drafting new policy-informed, technical approaches to today’s privacy, cybersecurity, and data challenges
-Measuring cyber risk with the innovative SCRAM platform
-Leading a global dialogue with policymakers, civil society, and industry leaders as we help shape the future of privacy and data governance
-Developing new educational opportunities related to data governance technology and public policy
During this event, attendees will learn about the current goals and challenges in the privacy, policy, technology and cybersecurity landscape; new research in these areas; and how the initiative fits in. Attendees will be able to ask any questions they have about the Future of Data, Trust, and Privacy Initiative to the research leads.
Submit your questions for the Q&A Discussion session on the registration form.
Learn about MIT’s Future of Data, Trust and Policy Initiative at: http://bit.ly/FODltp21
AI & Machine Learning, Computational Biology, Computer Architecture, Human-Computer Interaction, Programming Languages & Software, Security & Cryptography, Systems & Networking
Big Data, Cybersecurity, Internet of Things, Manufacturing
Created by Valerie Stephens at Monday, January 11, 2021 at 10:51 AM.