AI Education needs Equity, not Elitism (HED Submission)

AI may be the great equalizer in theory, but in practice, it is becoming the new divide.

I lacked a high-end GPU, an advanced IDE, and a stable connection to the World Wide Web when high-schooler me was writing my first few lines of Python code. Merely curiosity, and persistent enough to catch a pesky droid bug till the next dawn.

Waltzing to the present time, and I observe that students from rural or underfunded urban schools still display the same hunger as high-schooler Divyabhanu, but their learning environment has not caught up. Pricey GPU credits, content locked behind linguistic barriers, and paywalled bootcamps still keep too many of the students locked out of the AI revolution.

That is where equity comes into picture. Not equal opportunity, but fair opportunity: multilingual AI lessons, affordable computations, relevant mentorship programs, and no-expense data at their disposal.

Since we techies can build models that learn from quadrillions of parameters and code, then surely we can build systems that learn from quadrillions of curiosity-hungry students. 🤖

Because the next great AI mind may not be connected to the cloud, but definitely possesses the crackling spark. ⚡

<endnote>

And that is all for this blogpost on the thought-provoking topic of "Equity in AI Education" for my HED submission, assigned by my professor-in-charge, Dr. Jaspreet Singh. Until next time folks, when I arrive with another anecdote of my adventures in Christ University!

- Divyabhanu Rana

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