Dr. Daniel Schiff

Assistant Professor

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Biography

Daniel Schiff is an Assistant Professor in the College of Liberal Arts at Purdue University, where he co-directs the Governance Responsible AI Lab (GRAIL). With a focus on the intersection of technology and policy, he examines AI governance, ethics, and the social implications of artificial intelligence across various sectors, including education, manufacturing, and criminal justice. His interdisciplinary research employs mixed methods to address industry standards and organizational practices related to AI ethics. Schiff emphasizes the importance of public engagement in shaping policy and advocates for accessible, impactful research. His professional background includes engagement with JP Morgan Chase & Co. on responsible AI practices and participation in significant standard-setting efforts in AI ethics with IEEE. Schiff holds a PhD in Public Policy from Georgia Institute of Technology, in addition to masters from the University of Pennsylvania and Princeton University. His work has been published in numerous prestigious journals including the American Political Science Review, Public Administration Review, and the IEEE Transactions on Technology & Society. He continues to mentor graduate and undergraduate students while fostering collaboration among academics and industry professionals.

Research Interests

Experience

Assistant Professor

— Present

Purdue University • West Lafayette, IN

Teaching and researching topics related to technology policy and AI governance.

Awards

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National Institute of Justice Award No. 15PNIJ-23-GG-05487-RESS

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Google Research Gift

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Purdue University Office of Research Seed Funding

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.