Intersection of Faculty Identity and AI Transparency

Natasha Hannon and Laura Kinderman present work in progress reflecting on the intersections of AI use transparency and faculty identity. We will examine both the developing policies around GenAI use for educators, including those for disclosure statements and the potential unspoken costs or benefits as well as assumptions that accompany disclosure. The following questions will be addressed in the session:

• We ask faculty to model AI transparency, but what, if any, are the costs (or benefits) of this transparency?
• How do conceptions of identity impact faculty members practices with respect to acknowledging AI use across domains of faculty practice (development of curriculum, instructional planning and delivery, provision of feedback)?
• How do policies and faculty development initiatives promote or inhibit transparency in AI use among faculty?