45 min

A Case Against AI In K12 BustED Pencils

    • News Commentary

In this thought-provoking episode of "Busted Pencils," hosts Dr. Tim Slekar and Dr. Johnny Lupinacci dive into the complexities of artificial intelligence in education, guided by the insights of Tom Mullaney, an expert in special education and instructional design. The discussion traverses the terrain of AI’s influence on teaching practices, student engagement, and the very nature of educational content creation. As Mullaney critiques the prevalent overreliance on AI, he raises poignant concerns about bias, the authenticity of AI-generated content, and the ethical implications of using such technology in educational settings.



The conversation also illuminates the differences between various types of AI applications—from generative models that produce content to tools designed to enhance productivity in administrative tasks. Mullaney emphasizes the importance of discerning the potential harms of AI, such as its tendency to propagate biases and misconceptions, which could have serious implications for inclusivity and fairness in education.



Listeners will find themselves challenged to reconsider their positions on AI, inspired by real-life analogies like the transition from drum machines impacting musicians, suggesting that AI could similarly refine teaching by eliminating mundane tasks and fostering a focus on high-impact educational practices. The episode doesn't shy away from the gritty details, such as the legal and ethical frameworks surrounding AI use in classrooms, making it a crucial listen for educators, policymakers, and anyone interested in the intersection of technology and education.

In this thought-provoking episode of "Busted Pencils," hosts Dr. Tim Slekar and Dr. Johnny Lupinacci dive into the complexities of artificial intelligence in education, guided by the insights of Tom Mullaney, an expert in special education and instructional design. The discussion traverses the terrain of AI’s influence on teaching practices, student engagement, and the very nature of educational content creation. As Mullaney critiques the prevalent overreliance on AI, he raises poignant concerns about bias, the authenticity of AI-generated content, and the ethical implications of using such technology in educational settings.



The conversation also illuminates the differences between various types of AI applications—from generative models that produce content to tools designed to enhance productivity in administrative tasks. Mullaney emphasizes the importance of discerning the potential harms of AI, such as its tendency to propagate biases and misconceptions, which could have serious implications for inclusivity and fairness in education.



Listeners will find themselves challenged to reconsider their positions on AI, inspired by real-life analogies like the transition from drum machines impacting musicians, suggesting that AI could similarly refine teaching by eliminating mundane tasks and fostering a focus on high-impact educational practices. The episode doesn't shy away from the gritty details, such as the legal and ethical frameworks surrounding AI use in classrooms, making it a crucial listen for educators, policymakers, and anyone interested in the intersection of technology and education.

45 min