Union Leader Objects to AI Name-Reading at High School Graduation

Arlington Public Schools faces an unusual flashpoint in the broader artificial intelligence debate: graduation ceremonies. June Prakash, president of the Arlington Education Association, publicly objected to plans by Washington-Liberty High School to deploy AI technology for reading student names during commencement.

The controversy emerged during a school board meeting where Prakash, speaking as a parent of a rising senior, questioned the necessity of the change. "Who asked for this?" she asked rhetorically. The question cuts to the heart of a growing tension between technological efficiency and ceremonial authenticity.

According to the Washington Times, Washington-Liberty High Principal Alexander Duncan III defended the decision in a letter to the school community. He cited a persistent problem: names are too often mispronounced during commencement ceremonies, which can detract from what should be a milestone moment.

The AI tool comes from Tassel, a company specializing in graduations and similar events. The system will work alongside professional name readers to prioritize cultural nuance, ensuring every name is pronounced exactly as the student intends. Previously, school faculty read off student names during the ceremony.

Prakash's objection runs deeper than simple resistance to change. She argued that graduation is one of those most meaningful moments in a student's academic journey. Turning that moment into an AI moment makes this feel standardized, impersonal rather than authentic and human. The physical reality of a graduation ceremony matters here—the sound of a familiar voice, the pause before a difficult name, the connection between teacher and student.

She also raised a pointed concern about messaging. The use of AI, instead of achieving the nuance Duncan mentioned, can unintentionally send the message that efficiency matters more than identity. (This is the kind of argument that makes administrators reach for their pens, but it's worth hearing.)

Independent reporting from ARLNow corroborates the timeline and scope of the criticism. Prakash noted there was nothing wrong with the way the school has done things for the past 99 years—using faculty and staff members to read off the names of their students as they cross the stage to receive diplomas.

The sensory experience of a graduation ceremony is inherently human. A faculty member reading names creates a rhythm, a cadence that varies with each student. There's the slight hesitation before a complex name, the warmth in a teacher's voice when calling a student they've known for four years. An AI system, no matter how sophisticated, produces a different texture—consistent, predictable, and arguably sterile.

Prakash serves as president of the Arlington Education Association, but was speaking in her personal capacity during the public comment period. She asked School Board members to intervene and reverse the Tassel partnership. "We should be investing in practices that strengthen relationships, not replace them," she said.

The graduation ceremony is scheduled for 9 a.m. on June 13 at EagleBank Arena, located on the campus of George Mason University. This gives the School Board roughly a month to respond to the criticism before the event takes place.

Principal Duncan's rationale reflects a genuine problem in modern education. Schools serve increasingly diverse student populations, with names from dozens of languages and cultural backgrounds. Faculty members, no matter how dedicated, cannot possibly master the pronunciation of every name in a graduating class of hundreds of students.

The Tassel system allows students to submit and adjust their name pronunciations as needed. This addresses the core issue of accuracy. But accuracy alone doesn't capture what makes a graduation ceremony meaningful. The human element—the connection between educator and student—matters as much as getting the name right.

This incident highlights a broader pattern in AI adoption. Schools are increasingly turning to technology for tasks that were once handled by humans. The question isn't whether the technology works. The question is whether it should be used in contexts where human connection matters more than efficiency.

Prakash's argument about efficiency versus identity resonates beyond this single graduation ceremony. Schools face pressure to do more with less. AI offers a way to accomplish tasks faster, cheaper, and more consistently. But some tasks shouldn't be optimized. Some moments should remain imperfect, human, and variable.

The School Board did not immediately respond to Prakash during the public comment period. As is their custom, board members typically deliberate on such matters before taking action. Whether they will intervene remains uncertain.

Other schools in the Arlington Public Schools system are holding graduation ceremonies at various venues from June 5-13. It's unclear whether Washington-Liberty's approach will become a model for other schools or remain an isolated experiment.

Prakash's criticism also touches on a deeper philosophical question about the role of technology in education. AI can handle pronunciation, scheduling, grading, and countless other tasks. But education isn't just about efficiency. It's about relationships, mentorship, and human connection.

The irony isn't lost on observers. A ceremony celebrating human achievement now relies on artificial intelligence to get the names right. The technology that's supposed to enhance the experience might actually diminish it by removing the human element.

Whether the School Board reverses the decision or lets the ceremony proceed as planned, the conversation matters more than the outcome. This debate will likely resurface as schools continue to integrate AI into more aspects of student life.

For now, Washington-Liberty graduates will face a choice: accept the AI-assisted ceremony or advocate for a return to the traditional approach. The real question isn't whether the technology works. It's whether students and families actually want it. (And whether they'll pay for it remains the real question.)

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn