|

AI + Academic Integrity

Idaho AI Catalyst Webinar #3

Registration Details

Date/Time: Monday, November 17, 2025 · 10:00–11:00 AM Mountain 

Format 60 minutes · AI Catalyst Training · Live Q&A 

Where Zoom (registration required)

After registering, you will receive a confirmation email with the join link.

This third installment in the Catalyst AI Foundations for Faculty is a supplement to the previous webinar on AI + Assessment. As we improve our course design to become more AI-informed, we’re still faced with a major challenge: how do we handle academic integrity? Teaching has always required some level of enforcement and rigor, we’ve always had to hold students accountable for their work, but the rapid spread of ChatGPT and agentic browsers feels like it’s eroding our pre-2022 approach to academic integrity. This is particularly true of online and hybrid courses, but everyone feels it.

In Webinar 3, the Idaho AI Catalyst series will cover all things academic integrity and related ethical questions, such as whether faculty should even require students to use AI (or ban it?), how to select policies that work best for your situation, and whether process-tracking tools such as Grammarly Authorship or Google Docs History should be part of your grading toolkit. We’ll also provide tips for communicating your course expectations clearly and how to hold students accountable without compromising yourown integrity as an educator. The webinar will build on the work of former Idaho AI Fellows, Liza Long and Jason Blomquist, updated for Fall 2025 developments, such as the rise of agentic browsers. 

Joel Gladd (College of Western Idaho) will provide an overview of recent AI developments and how they impact academic integrity, as well as the different ethical models and strategies that relate to these discussions. Catalyst members Taylor Waring (North Idaho College), Heidi Tighe (College of Southern Idaho), and Abraham Romney (Idaho State University) will present examples and insights from their own experience as educators. 

Who this is for

Higher-ed faculty, staff, and administrators who engage with students and learning environments. Useful for instructors, program coordinators, student conduct leads, instructional designers, and department chairs.

What you’ll learn

  • How recent AI technologies are impacting academic integrity discussions 
  • How to communicate clear expectations for when and how AI use is permitted in your course
  • AI-use acknowledgement statements that support accountability 
  • Conversation strategies for responding when student work appears AI-generated

About the Idaho AI Catalysts

A statewide network across Idaho’s public colleges and universities, facilitated by the Idaho State Board of Education. We share practices, build AI literacy, pilot tools, and host open trainings. Our aim is to help faculty use AI effectively and ethically within a community of practice.

Similar Posts

  • University of Idaho AI Execution Group formed

    U of I has been actively exploring the opportunities and challenges presented by generative AI since it rose to prominence in 2022. In response to its rapid adoption across research, teaching and administrative functions, the university established the Artificial Intelligence Working Group (AIWG) in 2024 to coordinate efforts, gather campus-wide input and develop strategic recommendations….

  • Reasoning Models in Generative AI: How the Next Generation of LLMs Can Think

    The latest frontier “thinking models” can apparently begin to match the reasoning performance of humans. We will do a technical deep dive on the likely underpinnings of the latest generation of frontier reasoning models, including OpenAI’s o1 and o3. We will discuss and implement in Python a simple LLM that uses self-taught reasoning (STR) and Q-learning at both training and inference.

  • |

    AI for Writing and Assessment of Writing

    Discover how to harness genAI tools to transform writing instruction and assessment in higher education. This interactive workshop explores practical strategies and ethical considerations for using AI to enhance student learning and writing, featuring OER resources designed to empower both educators and students. It is designed for instructors who give writing assessments of any kind.  Come prepared to work on an assignment prompt that integrates AI in practical, productive, and ethical ways.