Dr. Todd Taylor is an award winning teacher and distinguished professor at the University of North Carolina at Chapel Hill, although he currently works full time for Adobe as a Pedagogical Evangelist.
How do we teach AI in a way that is rigorous, relevant, and grounded in our disciplinary context? This session examines how the AI for Nonprofits Course Framework from the Applied AI Innovation Initiative can be adapted by faculty across different fields. The course is structured to begin with transferable foundations such as generative AI models, tokenization, AI terminology, security, accountability, ethics, AI tools, automation, and chatbots, before moving into discipline specific applications within the nonprofit sector through modules on grant writing, the evaluation cycle, and other nonprofit topics. This structure puts into perspective how AI instruction can be adapted to support thoughtful implementation across academic fields. #DisciplineSpecificAI #AIinAction #LearningwithAI
As AI becomes a routine learning tool, educators need course designs that build what remains distinctly human: judgment, communication, collaboration, and ethical decision-making. This presentation introduces a practical soft-skills framework (Intrinsic, Navigational, Connectivity, Visionary) and demonstrates a Strategic Management in Hospitality exercises where students may use AI to draft responses but must apply a “human verification” layer for empathy, risk-awareness, and integrity. Participants will leave with a rubric-ready approach to assess soft skills alongside AI-enabled work.
Academic libraries are uniquely positioned to support AI literacy on campuses, guiding students, faculty, and the broader community in how to engage with this technology effectively and responsibly. The University of Oregon Libraries has developed a service desk, the AI Consultation Station, to do just that. In conjunction with other library services including workshops, individual meetings, and embedded instruction, the Consultation Station supports students and faculty where they are. We'll discuss the entire process from conception to launch, struggles and challenges, our ethos behind the project, and our future plans. (#academic-libraries #ai-fluency #campus-support)
As artificial intelligence accelerates transformation across every sector, a critical question emerges: Are graduates prepared to meet industry expectations in an AI-driven world? This session brings together a university professor shaping emerging talent and an industry professional leading teams through real-world AI integration. From industry, attendees will hear where skill gaps persist and which competencies (AI literacy, ethical reasoning, adaptability, and data fluency) are becoming non-negotiable. From academia, the session examines the challenges of teaching rapidly evolving tools while cultivating judgment and critical thinking. Together, the presenters will outline shared responsibilities and actionable pathways for preparing graduates to thrive alongside intelligent systems.
