Participants will explore key issues such as data privacy, misinformation, algorithmic bias, academic integrity, and authorship—grounding these topics within the frameworks of information literacy, labor ethics, and professional responsibility.
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The 90-minute session begins by examining foundational concepts in ethics and how they apply to emergent technologies, followed by an investigation of AI’s impact on student privacy, faculty autonomy, and community equity.
Drawing on scholarly literature, institutional guides, and media resources—including work by Reed Hepler, Torrey Trust, and international ethics bodies—attendees will engage in critical analysis and collaborative reflection.
Participants will also explore open access tools and frameworks that support equitable, transparent AI adoption in educational and public-facing contexts.
These resources will be tailored to align with institutional values, professional best practices, and pedagogical goals, and they will be adaptable for both student-facing materials and internal staff training initiatives.
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This includes a set of guiding principles, actionable practices, and evaluative processes.