Artificial intelligence is already part of students’ learning environments, yet many institutions still struggle to translate this reality into learning and assessment practices that are valid, defensible, and aligned with WSCUC expectations. This hands-on workshop moves beyond conversation and into practical design.

Participants will learn how to build authentic assessments that demonstrate meaningful student learning outcomes without relying on surveillance or detection tools. Using real institutional examples, participants will work through principles for designing assignments and rubrics that remain rigorous in an AI-enabled context while supporting academic integrity.

Attendees will leave with:
• A framework for aligning authentic assessments to program learning outcomes and CFR expectations
• Practical assignment design templates that integrate AI responsibly rather than attempt to exclude it
• Sample rubric language that evaluates thinking, synthesis, application, and reflection
• Guidance on updating academic integrity policies to reflect modern instructional realities
• A checklist for documenting assessment effectiveness for accreditation review

Designed for CAOs, Provosts, ALOs, and assessment leaders, this workshop emphasizes immediate application. Participants will return to campus ready to pilot updated assignments, refine policies, and strengthen assessment evidence in a way that is aligned with today’s learning environment.