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X-WR-CALNAME:Regional Perspectives on AI
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UID:169-1786703400-1786748100@ai-symposium.openlab.oneonta.edu
SUMMARY:Racing Ahead\, Flying Blind: Closing the Gap Between AI Adoption and Ethical Guidance in Graduate Education
DESCRIPTION:Artificial intelligence is no longer on the horizon of higher education. It has arrived. With 96.8% of graduate students already using AI tools and 61.3% doing so weekly or more\, faculty are navigating urgent\, practical questions: What are students actually doing with AI? Where does ethical use end and academic misconduct begin? How can faculty provide meaningful guidance when institutional policies lag so far behind? \nThis interactive session draws on findings from a mixed-methods study involving 61 faculty members and 62 graduate students to give attendees the tools they need to answer those questions with confidence. The data tell a striking story: both faculty and students recognize AI’s value\, and both share concerns about academic integrity\, and yet fewer than 20% of students report having clear guidelines for appropriate use. Faculty cannot close that gap through good intentions alone. They need concrete strategies\, and this workshop delivers them. \nAttendees will explore how students are actually using AI in their research\, from writing assistance and literature reviews to brainstorming and data analysis. They will examine the awareness and guidance gaps that leave students uncertain and faculty unprepared. Most importantly\, they will walk away with an evidence-based framework for integrating AI literacy into graduate mentorship\, designing assignments that leverage AI while requiring genuine critical thinking\, and cultivating a culture of transparency where students feel safe discussing their AI use openly. \nThis session is for faculty who want to move beyond policy debates and into practice. Because the goal was never to ban AI from graduate studies. It was always to teach students to use it well. \nSpeaker Biography\nGina Solano\, PhD\, works in the Secondary Education and Educational Technology Department at SUNY Oneonta. She teaches various graduate courses in educational technology\, research\, and teaching methods on such topics as technology trends\, innovative technologies\, multimedia\, online learning\, instructional course design\, and more. Her research interests include gamification\, AI’s role in education\, virtual reality\, social media\, micro-credentials\, digital badges\, and online learning. She has authored several articles and chapters and delivered workshops about emerging technologies that improve teaching and learning through technology. Dr. Solano is passionate about how technologies can promote positive social change in education.
URL:https://ai-symposium.openlab.oneonta.edu/event/racing-ahead-flying-blind-closing-the-gap-between-ai-adoption-and-ethical-guidance-in-graduate-education/
LOCATION:Morris Hall 130
CATEGORIES:AI and Research
ATTACH;FMTTYPE=image/png:https://ai-symposium.openlab.oneonta.edu/wp-content/uploads/sites/583/2026/07/00-G.Solano-Profile-Pic-e1783600629681.png
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DTSTART;TZID=America/New_York:20260814T100000
DTEND;TZID=America/New_York:20260814T222500
DTSTAMP:20260804T180102Z
CREATED:20260708T194045Z
LAST-MODIFIED:20260804T180102Z
UID:119-1786701600-1786746300@ai-symposium.openlab.oneonta.edu
SUMMARY:Layers of trust: AI assisted data management\, transcription\, and discovery in an audio digitization project.
DESCRIPTION:Cooperstown Graduate Program and Milne Library recently digitized a large collection of reel-to-reel historical recordings. The resulting collection posed a scale problem that no small archival team could manage by hand: metadata in inconsistent formats across systems\, thousands of untranscribed recordings\, and for many items\, incomplete information of what the tape actually contained. This case study examines how AI was built into that workflow\, not as one tool applied uniformly\, bust as a set of capabilities matched to different levels of trust. \nFor metadata already known to be correct\, hallucination risk was unacceptable. AI was used to write Python scripts that moved and reformatted metadata between systems\, but the scripts\, not the AI itself\, touched the data at runtime\, keeping every transformation transparent and auditable. \nFor the larger problem of undocumented audio\, we turned to AI transcription\, testing two local AI models that provided privacy and security because the model was running on our own infrastructure. An AI transcript with accuracy around 95% isn’t perfect\, but it’s a dramatic improvement over not knowing a tape’s contents at all\, and it makes systematic human review realistic for the first time. \nAt our lowest confidence tier\, we experimented with AI-generated abstracts and metadata for items with no human created descriptions. These will be useful as a starting draft and for discovery\, but require a human review gate before anything enters the permanent record. \nThis talk will explore each tier\, the reasoning behind it\, the tools used\, and where each one succeeded or fell short. The larger argument is that responsible AI adoption in research and cultural heritage work depend less on a single “use it” or “don’t” policy and more on matching AI’s role to how much verification a given task allows. Using a case study will allow participants to start to develop their own mental model for evaluating where AI belongs and where it doesn’t. \nSpeaker Biography\nEd Beck is the Open & Online Learning Specialist at SUNY Oneonta\, where he supports faculty and students in designing engaging\, accessible digital learning experiences. His work spans online learning\, open educational resources\, artificial intelligence\, and digital literacies\, helping educators adopt new technologies in practical\, ethical\, student-centered ways. \nHe is co-founder of SUNY Create\, an initiative helping campuses use open-source tools to support digital portfolios\, course projects\, and public-facing scholarly work\, with a focus on building authentic learning opportunities and durable\, transferable skills in students. \nEd brings a collaborative approach grounded in openness\, innovation\, and care for the learner experience\, and regularly leads professional development on digital pedagogy\, emerging technologies\, and inclusive teaching. In 2021 he received the SUNY FACT2 Award for Instructional Support; in 2026 he begins his first term as FACT2 chair.
URL:https://ai-symposium.openlab.oneonta.edu/event/layers-of-trust-ai-assisted-data-management-transcription-and-discovery-in-a-audio-digitization-project/
LOCATION:Morris Hall 130
CATEGORIES:AI and Research
ATTACH;FMTTYPE=image/jpeg:https://ai-symposium.openlab.oneonta.edu/wp-content/uploads/sites/583/2026/07/Beck-2026-2.jpg
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