Daniel Schiff
Ph.D. Candidate
Overview
Daniel Schiff, PhD was born and raised in Atlanta, GA, and completed his PhD at the Georgia Institute of Technology in the School of Public Policy, where he studied the governance and social implications of artificial intelligence. Daniel is currently an Assistant Professor of Technology Policy at Purdue University's Department of Political Science and is currently on industry leave serving as Lead for Responsible AI at JP Morgan Chase & Co.
(For up to date information, please see https://danielschiff.com/)
As a policy scientist with a background in philosophy, Daniel's studies the formal and informal governance of AI through policy and industry, as well as AI's social and ethical implications in domains like education, manufacturing, finance, and criminal justice. His interdisciplinary and mixed methods research addresses topics such as industry standards and organizational practices for AI ethics, public and elite opinion and influence dynamics in the policy process, the development of social responsibility attitudes amongst future computing and engineering professionals, and the role of the public in governing emerging technologies. 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.
At Purdue, Daniel is co-director of GRAIL, the Governance and Responsible AI Lab, where he focuses on fostering research collaborations to study AI's social, policy, and ethical implications. His work also includes the development of interdisciplinary coursework focused on technology, policy, and ethics, and he maintains a key interest in engaging with members of the public, stakeholders in civil society and industry, and policymakers.
Previously, Daniel served as the Director of Research, Evaluation, and Planning at 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).He studied Philosophy at Princeton University, focusing on robotics and intelligent systems and AI ethics, before completing a Master’s in Social Policy at the University of Pennsylvania, and a PhD in Public Policy from the Georgia Institute of Technology.
He has published in venues such as Public Administration, Technology in Society, AI & Society, the International Journal of AI in Education, IEEE Transactions on Technology & Society, the Journal of Engineering Education, the AMA Journal of Medical Ethics, and Nanotechnology and can be reached at dschiff@purdue.edu or @dan_schiff.
Past and present 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
- 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
- PhD Public Policy, Georgia Institute of Technology
- MS Social Policy, University of Pennsylvania
- AB Philosophy, Princeton University
Distinctions:
- GT President
- GT Institute Fellow
Interests
- 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
- Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies
In: International Journal of Artificial Intelligence in Education [Peer Reviewed]
Date: September 2021
- The Impact of Automation and Artificial Intelligence on Worker Well-Being
In: Technology in Society [Peer Reviewed]
Date: September 2021
- Explaining the Principles to Practices Gap in AI
In: IEEE Technology and Society Magazine [Peer Reviewed]
Date: June 2021
- AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection
In: IEEE Transaction on Technology and Society [Peer Reviewed]
Date: January 2021
- Linking personal and professional social responsibility development to microethics and macroethics: Observations from early undergraduate education
In: Journal of Engineering Education [Peer Reviewed]
Date: January 2021
- Out of the Laboratory and Into the Classroom: The Future of Artificial Intelligence in Education
In: AI & Society [Peer Reviewed]
Date: August 2020
- Assessing Public Value Failure in Government Adoption of AI
In: Public Administration [Peer Reviewed]
Date: April 2020
- Teacher Networks in Philadelphia: Landscape, Engagement, and Value
In: Penn GSE Perspectives on Urban Education [Peer Reviewed]
Date: May 2015
Conferences
- IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence
In: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) [Peer Reviewed]
Date: October 2020
- Principles to Practices for Responsible AI: Closing the Gap
In: 2020 European Conference on AI Workshop on Advancing Towards the SDGs [Peer Reviewed]
Date: September 2020
- What’s Next for AI Ethics, Policy, And Governance? A Global Overview
In: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society [Peer Reviewed]
Date: February 2020
- A New Paradigm For Autonomous and Intelligent Systems Development: Why Well-being Measurement Matters
In: Computer Human Interaction Workshop on Digital Well-being [Peer Reviewed]
Date: May 2019
- Bringing Shades of Feminism To Human-Centered Computing
In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing [Peer Reviewed]
Date: April 2019