How Generative AI Shapes Knowledge and Marginalizes Voices
Generative AI is reshaping higher education, but its Western bias and exclusion in design could marginalize diverse perspectives.
Generative AI isn't just a cool tech buzzword shaking up higher education. It's fundamentally changing how scientific knowledge is produced and validated. But there's a catch: these systems aren't neutral. They often marginalize non-hegemonic epistemologies, reinforcing a kind of 'epistemic coloniality'.
The Western Bias in AI
Let's talk datasets. Most training datasets are predominantly Anglophone and Western-centric. This isn't just a technical detail. It means that the AI systems trained on these datasets inherently reflect and perpetuate a Western worldview. In practice, this leads to the sidelining of knowledge systems from other cultures and traditions. The demo is impressive, but the deployment story is messier.
Double Marginalization of Disabled Individuals
The situation gets even more complex for persons with disabilities. These individuals often face a double whammy. They're not just marginalized by the AI systems that reduce them to stereotypes or exclude them from the design process. There's a systemic exclusion in play. I've built systems like this. Here's what the paper leaves out: the real test is always the edge cases, and these systems often fail spectacularly there.
Can Hybridization Preserve Diversity?
So, is there a way to keep diverse perspectives alive in the AI age? The idea of hybridizing researchers with machines is intriguing. It suggests a partnership that might preserve epistemic plurality. But let's not sugarcoat it. There's a structural limitation in algorithmic correction when it's used just as a band-aid strategy. Here's where it gets practical. We need to rethink how these systems are designed and who gets a say in that process.
Why should you care? Because the knowledge we create today shapes the world of tomorrow. If AI systems marginalize certain voices, we're looking at a future where those perspectives might disappear entirely. In production, this looks different. It's not just about technology. It's about the kind of world we want to build.
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