Strong preference for demonstrated expertise in the responsible use of AI tools in teaching and learning, such as, but not limited to: (1) successful development of teaching applications in undergraduate philosophy courses; (2) development of policies or instructional practices concerning ethical use of generative AI; (3) assessment of the pedagogical benefits and limitations of AI tools; (4) incorporation of AI literacy like bias, privacy, authorship, academic integrity, or other ethical issues into course design/content; (5) workshops, presentations, publications, or faculty development related to AI in teaching and learning; (6) participation in institutional initiatives concerning responsible AI use in higher education; (7) and/or evidence of revising teaching practices in response to emerging AI technologies. Demonstrated potential for excellence in teaching, mentorship, and promoting student success at the university level, such as, but not limited to, experience teaching undergraduate philosophy courses, student and/or peer evaluations of teaching; development of inclusive and accessible teaching practices; student mentoring; teaching awards or recognitions; and/or evidence of student learning and success.