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University-Wide AI Policy Initiative (AIPI)

William & Mary’s university-wide Artificial Intelligence Policy Initiative (“AIPI”) was established in the fall of 2024 to recommend the design and establishment of comprehensive policies by university decision makers that will guide the ethical, effective, and responsible use of AI across academic, research, and operational domains at the university.

We Want to Hear from You 

The AIPI team welcomes your feedback, and the following questions invite you to share your ideas/feedback about Generative AI in a brief survey. Your responses will be anonymous and should take at most 10 minutes to complete.

FEEDBACK FORM

AIPI Subject Areas

The Initiative is charged with initiating policy formation in the following subject areas:

  • Support for the ethical and responsible management of data and resources

    The AIPI will provide dedicated support for managing resources related to AI across the university. A support and consultation model will focus on ethical and responsible use across schools and departments.

  • AI in the classroom

    Develop the design of policies, frameworks and best practices regarding the use of AI tools by both students and faculty in the classroom setting, supporting learning with AI without compromising academic integrity. Create clear communication channels to inform students and faculty about the boundaries and best practices of AI use in an academic context.

  • Faculty guidance on AI in research and analysis

    Develop a framework to encourage and support the incorporation of AI tools into research and academic analysis where appropriate. Propose strategies for faculty development to support educators and researchers' AI literacy and ethical AI use in both faculty and student qualitative and quantitative research.

  • Regulation of AI in university operations

    Recommend policies for the responsible use of AI in all university operations, including human resources, finance, facilities management, and student services. Establish governance mechanisms to monitor the ongoing use of AI technologies in university operations, while maintaining compliance with legal, ethical, and policy standards.

Committee Membership

In addition, the AIPI will offer detailed recommendations for the establishment of a university-wide council to (1) manage the effective implementation of AI Policy; and (2) update all AI policies as appropriate. 

Timeline: The Committee will begin its work immediately upon formation. Final policy recommendations were submitted to the university administration by July 1, 2025. 

Reporting: The Committee will report to the Office of the Provost and maintain regular communication with the university’s Faculty Assembly, administrative leadership, and other relevant bodies. 

Committee Membership

  • David Yalof, Senior Vice Provost for Academic Affairs (Co-chair)
  • Pamela Eddy, Associate Provost for Faculty Affairs & Development (Co-chair)
  • Joshua Burk, Faculty Fellow
  • Cristiano Fanelli, Assistant Professor, Data Science
  • Rachel Chung, Clinical Associate Professor, School of Business
  • William D’Alessandro, Assistant Professor, Philosophy
  • Katalin Wargo, Director of Academic Innovation & Pedagogical Partnerships
  • Andrew Crawford, Deputy Chief Information Officer
  • Janice Zhang, Assistant Professor, Computer Science
  • Lindy Johnson, C&I Department Chair and Associate Professor, School of Education

If you have questions about the committee’s work, please contact [[aipi]].