Key Takeaways
- AI is already influencing how students write, think, and learn, acting as both a helpful tool and a potential crutch.
- Common attempts to spot AI‑generated text (e.g., overuse of em dashes or formulaic phrasing) are unreliable because those patterns originate from human writing.
- AI detectors such as Turnitin are themselves AI‑based and prone to false positives and negatives, especially for formulaic or English‑learner writers.
- Educators like John Dent (Dos Pueblos High School) and Daniel Frank (UCSB) argue that “you cannot detect AI writing” because AI merely reproduces learned patterns.
- When used critically—e.g., as a starting point for scripts, idea organization, or refining work—AI can elevate student projects in media and engineering classes.
- In more traditional disciplines like English and history, reliance on AI can short‑circuit the thinking‑through‑writing process, undermining the development of analytical skills.
- UCSB’s newly approved undergraduate AI major (launching 2026‑27) reflects the field’s dual promise of “immense possibility to do good” and the need for “abundant care” in its application.
- While AI excels at speed, scale, and efficiency, experts agree it lacks human judgment, empathy, and the ability to perform tasks that require care or nuanced interaction (e.g., therapy, surgery, firefighting).
- Teaching students to use AI responsibly—understanding its limits and leveraging it as a tool rather than a substitute for thought—is seen as essential preparation for the future workforce.
The Double‑Edged Nature of AI in Education
Artificial intelligence is already reshaping how students write, think, and learn—proving itself to be a double‑edged sword. At Dos Pueblos High School and UC Santa Barbara, the next generation is being taught how to use it as a tool, not a crutch. This nuanced approach acknowledges AI’s capacity to augment learning while warning against overreliance that can short‑circuit genuine cognitive engagement.
Why Traditional AI‑Detection Clues Fail
Many folks try to pick out the software’s writing, saying that the heavy use of em dashes, or the “it’s not this, it’s this” formula are telltale signs. The issue with that train of thought is that both are frequently used in AI‑produced writing because that is based on human‑produced writing, which uses both. Consequently, superficial stylistic markers cannot reliably distinguish machine from human output.
The Limits of AI Detectors
As far as AI detection goes, many UCSB professors try to discern their students’ work from a robot through the use of artificial intelligence detectors (which are also powered by artificial intelligence), such as Turnitin. The AI platforms that students use such as Chat GPT and Google Gemini are Large Language Models (LLMs), which means they take the most familiar patterns used in writing, coding, calculations, etc. and spit out the most likely answer. If the answer is the most likely one, how hard is it to differentiate between it and a real student? The inherent similarity makes detection a fraught endeavor.
Educators Voice Skepticism About Detection Tools
“There is no such thing as an AI detector,” said Dos Pueblos High School video production and yearbook teacher John Dent. UCSB multimedia and writing professor Daniel Frank agreed. “You cannot detect AI writing,” he said. “We speak in patterns. That’s what AI produces — patterns.” False positives and false negatives, he added, make enforcement unreliable, particularly for students who already write in formulaic ways, including English‑language learners.
The Pedagogical Risk of Banning AI
“If we just say, ‘Don’t use it,’ all we’re doing is pushing it into the shadows,” Frank said. “And then students use it in all the wrong ways without understanding what it is.” He continued, “Writing is thinking. You don’t know what you’re thinking until you articulate those thoughts.” LLMs do not think but predict — generating the most likely next word, sentence, or idea. The result can sound insightful. But it is, at its core, pattern recognition — nothing new.
AI as a Constructive Tool in Media and Engineering
At Dos Pueblos High School, Dent said the approach to artificial intelligence depends largely on the subject. In media and engineering classes, students are encouraged to use AI to refine their work, improve scripts, organize ideas, and use it as a soundboard. “If they need a starting point, sometimes they’ll go to AI,” Dent said. “Then we have them build from it.” In those settings, AI functions as a tool — something that can elevate work if used critically.
The Peril in Traditional Humanities Assignments
But in more traditional disciplines, like English and history, the other edge of the sword comes into focus. Assignments meant to develop writing and analytical skills can be completed entirely by a machine, with little thinking required. Frank put it simply: “You can use it well and carefully,” he said. “You can also use it really poorly in ways that are bad for you and bad for the world.” This dichotomy underscores why educators stress critical engagement rather than outright prohibition.
UCSB’s New AI Major: A Turning Point
Its dual nature is part of what universities are now responding to. Approved by the Academic Senate, UCSB’s new AI major is described by faculty as a turning point. “Artificial intelligence has rapidly risen to become perhaps the most important technological advancement of this decade,” engineering dean Umesh Mishra told UCSB’s The Current, who noted the field carries both “immense possibility to do good” and the need for “abundant care” in how it is used. The program, slated for the 2026‑27 academic year, aims to equip students with both technical proficiency and ethical awareness.
Public Anxiety About Job Displacement
But outside the classroom, there are fears it will come for these graduates’ jobs. In San Francisco, billboards have appeared over the past year with a striking message: “Stop Hiring Humans. The Era of AI Is Here.” Frank does not see it that way. “AI will surpass humans in some ways,” he said. “It already has.” Speed, scale, and efficiency are not human strengths. But expertise, he argues, is different. “AI will not replace an expert,” he said. “It doesn’t have judgment.”
The Irreplaceable Human Elements
Reporting has shown that AI cannot replace human interaction or care. It cannot be your therapist or your girlfriend. It cannot put out a fire, be your life‑saving surgeon, or write an article the exact way anyone in this newsroom can. Yet, according to professors and teachers at local high schools and universities, its proper use can be taught. By framing AI as a collaborator that amplifies human creativity—while insisting on critical oversight—educators hope to prepare students for a future where technology serves, rather than supplants, thoughtful inquiry.
Some Santa Barbara Educators Are Embracing AI in the Classroom