Designing Your Syllabus Al Policy: A Cross-Disciplinary Workshop

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Presenter: Marc Goodman

Summary

In this cross-disciplinary workshop, Marc Goodman explores how educators can develop clear, meaningful syllabus AI policies tailored to their teaching philosophies, course goals, and specific academic disciplines. With artificial intelligence becoming an essential skill in some fields and an academic integrity concern in others, instructors need guidance on how to set boundaries without relying on unreliable AI detection tools. The presentation introduces a prototype search tool designed to help faculty analyze over 200 real-world syllabus policies across various levels of permission, student responsibilities, and documentation requirements. Participants learn how to craft transparent policies that encourage critical thinking, address privacy and bias, and set clear expectations for ethical AI use in the classroom.

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Learning Outcomes

After reviewing this workshop, faculty will be able to:

  • Identify appropriate artificial intelligence uses and limitations specific to their discipline.
  • Evaluate different permission levels for syllabus AI policies, ranging from required use to complete restriction.
  • Incorporate key policy dimensions into course syllabi, including student responsibilities, required documentation, and ethical warnings.
  • Understand the limitations of AI detection software and implement effective, observation-based assessment strategies.
  • Guide students on how to responsibly document, cite, and reflect on their use of AI tools.

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