Daniel Schiff

Ph.D. Candidate

Member Of:
  • School of Public Policy
Email Address:


Daniel Schiff was born and raised in Atlanta, GA, and is currently a PhD candidate at the Georgia Institute of Technology in the School of Public Policy, where he studies the governance and social implications of artificial intelligence.

As part of this work, Daniel examine topics including automated decisions systems in government, tensions between formal and informal governance approaches in the US and globally, public and elite opinion and influence dynamics in policy and political processes, and the social and ethical implications of AI in domains like education, labor, and criminal justice. Much of his work and publications have been interdisciplinary in theory and method, involving collaborations with philosophers, computer scientists, political scientists, and other technical and social science scholars. Daniel's work lies at the intersection of policy, technology, and society, with special attention to social and ethical implications for historically marginalized and vulnerable groups.

Current interests/projects include:

  • The landscape of global AI ethics codes, principles, and policy strategies
  • How competing stakeholders and issue frames surrounding AI are shaping AI policy agenda-setting
  • The impact of automation and AI on worker well-being
  • Development of social responsibility attitudes amongst STEM undergraduates
  • Public and elite attitudes toward AI in government services (e.g., child welfare and criminal justice)
  • The impact of misinformation about misinformation on politician support and trust in media
  • An agony-based distance approach to identification of coalition preferences in organizations

Previously, Daniel served as the Director of Research, Evaluation, and Planning for the Philadelphia Education Fund. His work emphasized school- and district-level policy and program strategies for urban contexts. In particular, Daniel's research and policy efforts focused on teaching and learning, dropout prevention, college and career readiness, and science, technology, engineering, and math (STEM).

Daniel studied philosophy and the ethics of artificial intelligence at Princeton University before completing his MS at the University of Pennsylvania on social policy, with a focus on education policy and research. Daniel has published in journals including AI & Society, Public Administration, Technology in Society, IEEE Transactions on Technology and Society, the AMA Journal of Medical EthicsPerspectives on Urban Education, IEEE Technology & Society Magazine, and Nanotechnology and can be reached at schiff@gatech.edu or @dan_schiff


Previous projects include:

  • How AI policy strategies internationally address the implications of AI for education
  • The social and policy implications of AI-based virtual teaching assistants
  • The role of teachers in intelligent tutoring systems
  • Regulation of autonomous vehicles
  • Graduate experience and workforce outcomes of people in ethically contentious fields
  • Implications of AI for healthcare ethics
Faculty Advisor:
Juan Rogers
  • MS Social Policy, University of Pennsylvania
  • AB Philosophy, Princeton University
Awards and
  • GT President
  • GT Institute Fellow
Areas of
  • Emerging Technology
  • Governance Of Artificial Intelligence
  • Science And Technology Policy
  • Social Implications Of Technology
  • Social Policy


Research Fields:
  • Ethics and Philosophy of Science and Technology
  • Policy Process, Leadership, and Pre-Law
  • Science, Technology, and Innovation Policy
  • Education Policy
  • Emerging Technologies - Innovation
  • Human/Machine Interaction
  • Inequality, Inequity, and Social Justice
  • National Strategy
  • Perspectives on technology
  • Philosophy
  • Regulatory Reform
  • Science and Technology
  • Technology Management and Policy
  • Vulnerable Populations
  • Wicked Problems

Selected Publications

Journal Articles


Working Papers

Recent Publications

Journal Articles


Working Papers