On March 12, 2024 from 3:00 to 4:00pm in Copley Formal Lounge, McCourt School of Public Policy’s the Massive Data Institute and the Tech & Public Policy program are hosting the first in a series of panels exploring the question of “what does AI mean for us in everyday life?”
AI & Me: Privacy and Data
Tuesday, March 12, 2024
3:00-4:00pm
Copley Formal Lounge
The panel discussion will be followed by a reception with the panelists.
Panel Abstract: Join a conversation with a panel of experts in technology, policy, and law to explore AI in daily life from the distinctive lens of privacy and data. Surveys show that 60% of consumers have lost trust in organizations over their AI use and it’s no wonder. Many newer AI technologies demand large volumes of data to feed their machine learning algorithms, and these data frequently contains personal information that is accessed, collected or used without an individual’s knowledge or consent. The data might then be synthesized and analyzed to make sensitive inferences about people, such as their location, their attitudes on issues of the day, or their purchasing habits. Panelists will explore what it means for privacy as more consumer products and services integrate AI technology, how it impacts individuals in their daily lives, and what future legislation may look like.
Following the panel there will be reception with the panelists.
This event is hosted in partnership with the McCourt School of Public Policy’s Massive Data Institute and the Tech & Public Policy program.
This series is open to the public. RSVP below.
Meet the panelists
Moderator: Amy O’Hara, Ph.D., Research Professor at the Massive Data Institute, McCourt School of Public Policy, Georgetown University, and Director of Georgetown Federal Statistical Research Data Center
Amy O’Hara is a Research Professor in the Massive Data Institute and Executive Director of the Georgetown Federal Statistical Research Data Center at the McCourt School of Public Policy. She works on data governance, linkage, and privacy enhancing technologies. She is currently leading linkage demonstration projects with federal, state, and county government agencies. She is the current president of the Association of Public Data Users and a co-chair of the International Population Data Linkage Network. She received her Ph.D. in Economics from the University of Notre Dame.
Ryan Hagemann, Global AI Policy Lead, IBM
Ryan Hagemann (he/him) is IBM’s global lead for AI policy and the co-director of the IBM Policy Lab. In this role, Ryan spearheads the company’s engagement with government leaders and policymakers across the world on regulatory approaches to AI governance. He was previously a senior policy fellow at the International Center for Law & Economics. Before joining the International Center for Law & Economics, he was a senior fellow at the Niskanen Center, where he also served as the senior director for policy and director of technology policy. Ryan graduated from Boston University with a B.A. in international relations, foreign policy, and security studies and holds a Master of Public Policy in science and technology policy from George Mason University.
Jane Horvath, Partner, Gibson, Dunn & Crutcher LLP
Jane Horvath (she/her) is a partner in the Washington, D.C. office of Gibson, Dunn & Crutcher. She is a Co-Chair of the firm’s Privacy, Cybersecurity and Data Innovation Practice Group, and a member of the Administrative Law and Regulatory, Artificial Intelligence, Crisis Management, Litigation and Media, Entertainment and Technology Practice Groups. Having previously served as Apple’s Chief Privacy Officer, Google’s Global Privacy Counsel and the DOJ’s first Chief Privacy Counsel and Civil Liberties Officer, among other positions, Jane draws from more than two decades of privacy and legal experience, offering unique in-house counsel and regulatory perspectives to counsel clients as they manage complex technical issues on a global regulatory scale.
Eric Null, Co-Director, Privacy & Data Project, Center for Democracy & Technology
Eric Null (he/him) co-runs the privacy and data project at the Center for Democracy & Technology, which focuses on a broad set of issues such as comprehensive privacy legislation, disability rights, workers rights, and algorithmic bias. In that role, he helps set strategy and executes privacy-related projects, particularly related to action in Congress, federal agencies, and states. He also leads CDT’s AI legislative work on privacy and transparency.
Muthu Venkitasubramaniam, Ph.D., Associate Professor in the Department of Computer Science, Georgetown University
Muthu Venkitasubramaniam (he/him) is an Associate Professor in the Department of Computer Science at Georgetown University. He received his Ph.D in the Computer Science Department at Cornell University under the supervision of Rafael Pass and spent a year as a CI Fellow at NYU and Columbia University. Prior to coming to Georgetown, he was an Assistant/Associate Professor at University of Rochester. Muthu is one of the steering committee members of zero-knowledge standardization effort and CTO of the startup Ligero Inc. He is a recipient of a Google Faculty Research Award, JP Morgan Faculty Award and received the ICDE 2017 Influential Paper Award for his work on introducing new privacy techniques
Event Information
Registration: https://bit.ly/RSVPMar122024Privacy
Accommodations: In the RSVP form, please indicate any accommodations https://bit.ly/RSVPMar122024Privacy. This event is wheelchair accessible. Accommodation requests related to a disability should be made by March 1, 2024 to Khai Booker at mdiresearch@georgetown.edu. A good faith effort will be made to fulfill requests made after March 1, 2024.
Transportation: Georgetown University is accessible for faculty, staff, students and visitors through many convenient transportation options, including our free university shuttle, public transportation, bicycling, carsharing and other means. Learn more about transportation options here. (new window)
See here (new window) (Interactive map) or here (new window) (PDF) for a Georgetown University campus map.
Taxi / Ridesharing: The recommended drop-off location is at the front gates of campus. Please inform your driver that your destination is Georgetown University or use the address 3700 O St. NW, Washington, DC 20057. Additional information on taxi / ride sharing is available here. (new window)
Visitor Parking: If you decide to drive to campus, please note there is construction happening on campus on the north side of campus. Visitor parking is available at Southwest Garage (Use 3611 Canal Road as the address for directions using GPS). Additional information on visitor parking is available here (new window).
AI & Me Series Hosts
About the Massive Data Institute (MDI): At Georgetown’s McCourt School of Public Policy, the Massive Data Institute (MDI) is an interdisciplinary research institute that connects experts across computer science, data science, public health, public policy, and social science to tackle societal scale issues and impact public policy in ways that improves people’s lives through responsible evidence-based research. For more information on MDI, please visit https://mdi.georgetown.edu/
About the Tech & Public Policy program: The Tech & Public Policy program at the McCourt School of Public Policy works to shape technology’s promise for a better world. Tech & Public Policy catalyzes cross-disciplinary research, supports emerging leaders, and convenes experts and policymakers to address the challenges and opportunities posed by our ever-evolving digital society. Learn more: https://mccourt.georgetown.edu/tech-and-public-policy/
For more information about the AI & Me Series, please visit: https://mdi.georgetown.edu/events/aiandme-spring2024/
Questions? Please contact mdiresearch@georgetown.edu (new window).