Artificial intelligence is reshaping classrooms nationwide. Experts share how schools can adopt AI responsibly, ensuring equity, ethics, and human-centered teaching remain at the forefront.
A partner in learning
Artificial intelligence is no longer a distant promise — it’s here, and schools are grappling with how best to use it. For educational leaders, the question is not whether to use AI, but how to adopt it responsibly.
Dr. Joseph Rene Corbeil, Professor of Educational Technology at The University of Texas Rio Grande Valley, reminds us of Arthur C. Clarke’s famous line: “Any teacher that can be replaced by a machine should be.” To him, AI can ease repetitive tasks like practice feedback, freeing teachers to do what machines cannot — mentor, inspire, and connect.
His colleague, Dr. Maria Elena Corbeil, emphasizes that responsible adoption must be “curious and intentional.” She encourages faculty to experiment openly with AI alongside students, showing that technology is a partner in learning, not a shortcut.
But both caution against widening divides. “If left unchecked, AI could create a two-tiered system where those who can afford premium tools gain an advantage,” Rene warns. Maria Elena points to unequal access to devices, internet, and faculty support as critical barriers.
AI use shaped by classroom realities
For Yanbei Chen, a Ph.D. student at Syracuse University, responsible adoption must also account for culture, language, and diverse learning needs. In her courses, students use AI image generators to visualize inclusive classrooms — an exercise that enhanced creativity while sparking dialogue about equity and accessibility.
Equity also drives the work of Dr. Veronika Abramenka-Lachheb, Assistant Professor at Boise State University and Director of the LENS Lab. She argues that responsible adoption begins with respect for learner privacy, autonomy, and agency. Her call to action for schools is to create values-based guidelines rooted in classroom realities, not one-size-fits-all policies.
Qiu (Stephen) Wang, Professor of Measurement and Research Methodology at the University of South Florida, likens AI to “handing scissors to a kindergartner.” Useful, yes — but only with oversight. In his graduate classes, students use AI for brainstorming, then critique its outputs against pedagogy, learning both creativity and skepticism.
Across perspectives, one theme stands out: AI should amplify human teaching, not replace it. Responsible adoption means prioritizing equity, ethics, and transparency, ensuring technology empowers every learner while keeping human judgment at the heart of education.
