Webinar: Beyond AI Detection: The Mosaic Approach to Responsible AI in Academia 


 Beyond AI Detection: The Mosaic Approach to Responsible AI in Academia 

AI is changing how we research, write, and learn, but using it in ways that are transparent and authentically your own is something many academics are still navigating. Join our free webinar, Beyond AI Detection: The Mosaic Approach to Responsible AI in Academia, led by Christopher Ostro, Assistant Teaching Professor and AI Specialist at the University of Colorado Boulder, and explore practical approaches to using AI ethically and effectively in academic work. 

Beyond AI Detection: The Mosaic Approach to Responsible AI in Academia 

Date: Thursday, May 21, 2026   

Time: 3:00 PM EDT 

Language: English 

Register for Free 

Part of The AI Exchange series, covering real conversations on AI in education and research, this educational session explores practical, transparency-first approaches to responsible AI use and disclosure.  

In this session, you’ll learn how to: 

  • Move beyond AI detection-focused thinking toward transparency and trust  
  • Build transparency-first AI workflows in academia  
  • Navigate institutional and peer conversations around AI use 
  • Use practical disclosure strategies that support academic integrity 

Bring your questions to the live Q&A and gain actionable guidance you can apply immediately.  

Register for Free 

Meet Our Speaker 

Christopher Ostro is an Assistant Teaching Professor for the Program for Writing and Rhetoric in the Division of Continuing Education at the University of Colorado Boulder, as well as a 50% course designer with the Learning Design Group at CU. He develops AI-focused trainings and educational programs for faculty and students, informed by real classroom experience. His research interests include AI in the classroom, AI Detection, the impact of COVID-19 on higher-ed students, and political radicalization. 

Whether you’re a student, researcher, or faculty member, this session will give you a clear, practical approach to using AI responsibly in academic work. 

Register for Free 

We look forward to seeing you at the session!  

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