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Faculty in the DePerro School of Health Professions are using AI to enrich academic and clinical learning. SLP faculty apply AI for program research, rubric creation, and document editing, while Nursing integrates AI-generated case studies and will pilot an exercise comparing student-developed healthcare policies with AI-created versions. Health Science students use AI to build and evaluate personalized nutrition plans and to refine writing ethically. Across the School, AI is framed as a tool that supports—but does not replace, critical thinking and professional judgment.

The School of Business has woven AI into retreats, coursework, and professional engagement. Students and faculty have explored AI’s role in hiring decisions, accounting analytics, and business decision-making, while visiting professionals demonstrate real-world applications. The Foster Center is developing an alumni task force, piloting an AI-focused BONA 101 class, and offering student workshops. In the classroom, marketing, management, fraud, and accounting courses now include AI-supported assignments that teach students how to use the technology responsibly and evaluate its limitations.

The Jandoli School integrates AI across journalism, strategic communication, and media production with a strong emphasis on ethics. Students compare AI-generated stories with their own reporting, analyze AI-assisted writing in professional contexts, and investigate AI tools within Adobe and other platforms. Courses highlight issues such as accuracy, bias, data scraping, and misinformation, helping students understand both the creative potential and ethical challenges of AI while reinforcing the School’s Franciscan values.

The School of Arts and Sciences uses AI to support learning while building students’ evaluative and analytical skills. Chemistry, Computer Science, English, Philosophy, and Theology courses incorporate AI for summarization, research support, and argument development, with faculty guiding students to identify errors and limits in AI-generated content. The MSW program additionally uses AI-assisted and traditional essays in admissions to assess applicants’ writing and understanding of appropriate AI use.

The School of Education is developing policies and coursework that promote responsible AI use in teaching and counseling. Graduate Studies has proposed updates to the academic integrity policy, while Counselor Education has created guidelines and instructional videos to direct ethical AI use in assignments. Literacy faculty are integrating tools like Diffit, Curipod, Quill, and GoReact to enhance instruction and professional development. Childhood Education is evaluating how to address AI systematically, with clear syllabus language outlining acceptable and prohibited use.

AI must strengthen, not undermine, honesty and authenticity in teaching, learning, and scholarship. Grades, credentials, and research should reflect genuine human understanding and intellectual effort.

AI should promote equity and inclusion rather than deepen existing divides. The University is committed to doing its best to ensure fair access to AI tools and literacy, educating users about the biases and limitations of AI, and protecting the dignity of all learners and employees in the design and use of AI systems.

AI must operate within structures of clear responsibility and open communication. Institutional employment of AI in instruction, advising, research, and administration should be transparent and aligned with relevant course and University policies.

As AI reshapes higher education, the University will foster a culture of shared understanding and support among faculty, staff, and students. Professional development, collaboration, and empathy will guide this adaptation so that technological change strengthens, rather than fractures, our academic community.

The University recognizes its obligation to manage its resources with care and foresight, be they human, environmental, financial, or informational. AI adoption should reflect fiscal prudence, respect for privacy and data integrity, protection of employment and workload balance, and sustainability in environmental impact.

AI should be used to enhance learning, creativity, and institutional effectiveness, not only to increase efficiency. The University commits to continuous evaluation of AI’s effects, prioritizing innovation that advances education and the well-being of our community while doing our best to prevent harms and address them where they occur.