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Contributed Talk

AI and Emerging Technology

LLM: Bias Engines - Identifying AI Bias and What to Do About It

SESSION DATES & TIMES COMING IN AUGUST 2026
Audience Classification: Digital Learning
Audience Expertise: Strategic Growth - Experienced leaders focused on optimizing established programs and solving persistent challenges.
Grade Level Focus: Elementary Schools, Middle Schools, High Schools, Higher Education, Adult Learners
Primary Audience: Content Designer, District Leader, Teacher
Does this session focus on a specific product? Yes – Created by our organization – The session includes content about a product or service that our organization has developed or offers.
Abstract Description : All LLM like ChatGPT and Claude work because they create predictable and probable responses. So what were they trained on? Us! And we are biased creatures that perpetuate that bias by using AI text that has not been sufficiently layered for bias mitigation, accessibility and inclusion. This session will demonstrate AI bias and provide strategies for how to generate better AI content that is inclusive and more representative of our students and our values. Get excited about AI yes, but beware of the dangers these tools present without using them effectively.

Learning Objectives:

  • Demonstrate AI bias through examples and live demonstrations.
  • Layer in effective prompting techniques that remove AI bias, provide more inclusive responses, foster accessibility practices and greater student engagement.