Technology
Kimberlin Rivers, EdD Educational Leadership; EdS Educational Leadership; MEd Instructional Technology
Vice President of Instruction
Imagine Learning
Tempe, Arizona, United States
Jason Fournier, BS Information Technology, Digital Media Management (he/him/his)
Vice President of Product Management, AI Initiatives
Imagine Learning
Quincy, MA, United States
Allen von Pallandt, MA Math Education; MA Educational Administration; BA Pure Mathematics (he/him/his)
Senior Product Manager
Imagine Learning
New York City, NY, United States
In an era of AI-driven learning, educators must be vigilant about biases in the tools they use. Join experts in AI and education as they unpack how to identify and address biases—gender, race, ethnic, cultural, language, age, geographic, and disability—within AI tools. Through real-world examples and practical strategies, learn to detect these biases and take steps to dismantle them. Discover how to explain AI biases to students in age-appropriate ways, fostering equity and inclusion. This session will equip you with insights and tools to champion fairness in AI integration. Engage in discussions, ask questions, and leave with actionable strategies to ensure equitable learning for all.
If someone was doing a search for your session in the program what 5 words might they use to search for and find your session.: AI; Bias; Technology; Equity; Fairness