Formal Response — MDI’s Comment on NIST AI 100-4 on Reducing Risks Posed by Synthetic Content

The Massive Data Institute (MDI) at the McCourt School of Public Policy and the Department of Computer at Georgetown University offer the following comments in response to National Institute of Standards and Technology (NIST)’s Request for Comments on Draft Documents Responsive to NIST’s Assignments Under Executive Order 14110 (Sections 4.1, 4.5, and 11). 

The following response specifically addresses NIST AI 100-4, Reducing Risks Posed by Synthetic Content: An Overview of Technical Approaches to Digital Content Transparency. Read the response here.

Read MDI’s Response to NIST Request for Comment on Reducing Risks Posed by Synthetic Content (NIST AI 100-4)

The Massive Data Institute is an interdisciplinary research institute that connects experts across computer science, data science, public health, social science and public policy to tackle societal scale issues and impact public policy in ways that improves people’s lives through responsible evidence-based research. 

The Department of Computer Science at Georgetown University connects students with the ideas, skills, and opportunities to shape the digital world we live in. Current core research areas include algorithms and theory; security, privacy, and cryptography; and data-centric computing.

For any questions, please reach out to the Primary Point of Contact Elissa M. Redmiles, Ph.D., Georgetown University (Elissa.redmiles@georgetown.edu).

Thank you to the following collaborators for your contributions to this response:

Sarah Adel Bargal, Ph.D., Georgetown University 
Ana-Maria Cretu, Ph.D., École Polytechnique Fédérale de Lausanne
Asia Eaton, Ph.D., Florida International University
Amy Hasinoff, Ph.D., University of Colorado Denver
Sophie Hawkes, Royal Holloway, University of London
Allison McDonald, Ph.D., Boston University 
Lucy Qin, Ph.D., Georgetown University 
Carmela Troncoso, Ph.D., École Polytechnique Fédérale de Lausanne