ISCAP Proceedings: Workshop Presentation
Teaching, Governing, and Publishing with AI: Practical Strategies for Information Systems Educators, (Part 2)
Kevin Mentzer
Nichols College
David Firth
University of Montana
Mark Frydenberg
Bentley University
Objectives
Part 2: AI Ethics, Governance, and Responsible Use in Teaching, Research, and Academic Work
This interactive workshop explores practical approaches for navigating the ethical, professional, and governance challenges created by generative AI in higher education. Building on Part 1’s focus on classroom use, this session shifts attention to responsible AI use across the broader academic environment, including teaching policies, student expectations, research practices, publishing workflows, institutional guidance, and professional norms.
This will be a community-driven discussion rather than a traditional panel, allowing conference participants to learn from one another and compare emerging practices across institutions, disciplines, and roles.
The facilitators invite conference attendees to share their own approaches, concerns, policies, dilemmas, and lessons learned related to ethical and responsible AI use. The facilitators will guide the discussion and keep it focused on practical governance strategies that support innovation while protecting academic integrity, transparency, fairness, privacy, and trust.
Each facilitator will introduce a topic or governance area, share an example or challenge from their own institutional or professional context, and then invite participants to join the discussion. Topics may include AI use in the research and publishing pipeline, disclosure and attribution expectations, student AI use policies, syllabus language, academic integrity concerns, data privacy, bias and fairness, responsible use of AI-generated content, institutional governance models, and the role of faculty in shaping AI norms. If you have a topic you would like to see discussed, please contact one of the facilitators prior to the workshop.
Format: Introduction and comments from the moderators followed by open discussion with attendees. Guided discussion will be used to keep the conversation focused and productive.
Outcomes: Participants will gain practical ideas for developing responsible AI use policies, insights into how peers and institutions are addressing AI-related ethical challenges, and strategies for balancing innovation with academic integrity, transparency, privacy, fairness, and accountability. Participants will leave with examples and discussion points they can adapt for their own courses, research teams, departments, or institutions.
Targeted Attendees
Instructors, researchers, administrators, program leaders, and academic professionals who are developing, revising, or implementing ethical AI use practices in teaching, research, publishing, or institutional governance. No prior expertise in AI ethics or governance is necessary.