The Many Faces of Artificial Intelligence (AI)
(Photo Credit: ChatGPT 4o) AI is often the elephant in the room, surfacing in everything from high-stakes policymaking and academic research to casual conversations with my barber. It permeates so many aspects of life that it’s hard to escape its presence. Yet, because AI is so vast and varied in its applications, it remains a “hyper-object”—something so complex and multi-dimensional that it feels impossible to fully grasp. It impacts education, healthcare, law enforcement, entertainment, and more, each in dramatically different ways.
Let’s complicate the idea of infrastructure in conversations about GenAI
First, a blog post Rethinking AI Infrastructure: Beyond the Surface-Level Conversations The current excitement around generative AI has sparked a wave of discussions about its potential to transform various aspects of our lives. Amidst the hype, there’s a growing tendency to refer to AI as “infrastructure.” While this comparison might seem fitting, it oversimplifies the complexity of AI systems and, more importantly, obscures the critical questions surrounding control, benefit, and impact.
Putting Generative AI in Classrooms
It was more than one year ago when I mused on the topic of integrating AI in education. Now, it feels like that post was made a decade ago! Yesterday, I got a chance to be on a panel on this topic, moderated by my great colleague Dr Susan Yoon and participated by Drs. James Lester and Ryan Baker, two known experts in the area of AI in Education. The panel was part of the launch event for the new McGraw Center for Educational Leadership at Penn GSE.
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