The Real Promise and Peril

When deployed thoughtfully, AI can tackle genuine problems. Teachers have always wanted to provide individualised or customised attention to every student, but with 30+ kids in a classroom, it's usually physically impossible. AI can help bridge this gap, adapting to learning paces and styles in ways that a single human simply cannot manage alone. The average teacher spends countless hours on administrative tasks, grading, and repetitive instruction. AI can shoulder some of this burden, giving educators more time for what humans do best: building relationships, providing mentorship, and offering the emotional support that no algorithm ever could.

But let's not be naive. The concerns around AI in education aren't just technophobic hand-wringing. AI systems learn from existing data - data that often reflects and reinforces societal inequalities. Without careful oversight, we risk amplifying biases and further disadvantaging already marginalised students. As education becomes more technology-dependent, students without reliable access to devices and internet are left further behind. Students' educational data is sensitive and valuable. Who owns it? How is it used? What happens when it's collected from age 5 to 18? These questions demand answers before AI becomes ubiquitous in classrooms.

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