Earlier this summer, the National Telecommunications and Information Administration (NTIA) asked the public for comments on big data and consumer privacy, including whether the Consumer Privacy Bill of Rights is the best way to reduce harmful uses of big data and what legal recourse exists to prevent data-driven discrimination. The Center for Data Innovation submitted comments recommending that policymakers restrict specific harmful uses of data, promote data reuse and sharing, and look to existing anti-discrimination law as a model for reducing data misuse. The Center urged policymakers to consider whether abstract fears about potential future harms are worth stalling the concrete benefits of data, including saving lives.
Comments to the NTIA on Big Data and Privacy
Daniel Castro
Daniel Castro is president of the Information Technology and Innovation Foundation (ITIF), the world’s top-ranked think tank for science and technology policy, where he leads the organization’s work shaping debates on critical issues at the intersection of technological innovation and public policy. He is a prolific writer and respected public speaker on issues ranging from Internet policy and digital governance to artificial intelligence and other emerging technologies. Castro also founded and is director of ITIF’s Center for Data Innovation, a leading voice on open data, artificial intelligence, and digital transformation. He has played a key role in advancing the OPEN Government Data Act and has long worked on the policy and economic impact of data-driven innovation. His work on AI spans a broad range of policy issues, including adoption and diffusion, privacy and security, intellectual property, deepfakes and information integrity, and the economic and competitive dynamics of AI, as well as global competition and governance—particularly in China and Europe.
Travis Korte
Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.
