Glendale Community College tried using AI to call out graduate names at commencement. It failed spectacularly, mispronouncing names so badly that graduates and families booed. The college has apologized, but the damage is done—and the incident reveals something important about premature AI deployment.
This isn't a story about AI not being good enough. Text-to-speech technology is mature. Pronouncing names correctly is a solved problem—when humans are in the loop. This is a story about choosing automation over human dignity in a moment that actually matters.
Graduation is ceremonial. For many students and their families, it's the culmination of years of work and sacrifice. Having your name mangled by a robot—in front of everyone you care about—isn't just embarrassing. It's symbolic of being treated as data rather than a person.
The practical failure here is straightforward. AI voice systems struggle with names from non-English linguistic backgrounds. That's fixable with proper training data and pronunciation guides. But Glendale Community College apparently deployed the system without testing it on actual graduate names or providing human oversight.
Here's what bothers me about this: why automate this at all? Having a person read names isn't a problem that needs solving. It's not expensive. It's not time-consuming. It's not error-prone when done with reasonable care. This was automation for automation's sake.
The decision to use AI for name reading suggests someone in administration saw it as a cost-saving measure or a way to appear innovative. But graduation isn't the place for cost-cutting or innovation theater. It's one of the few remaining ceremonies in American education where individual recognition actually matters.
The booing from graduates and families was predictable. People aren't anti-technology—they're anti-being treated like test subjects for systems that weren't ready. Glendale Community College turned a celebratory moment into a demonstration of what happens when you prioritize technology over people.
The apology from the college was necessary but insufficient. They acknowledged the mispronunciations and said they're reviewing their practices. What they should acknowledge is that this was a failure of judgment, not just execution.
This is the perfect metaphor for where we are with AI deployment. The technology exists. Sometimes it works. But whether it should be deployed in a given context requires human judgment—the kind of judgment that seems to be in short supply when everyone's racing to look innovative.
The question isn't whether AI can pronounce names. It's whether a graduation ceremony is the appropriate place to find out.
