<ul><li>Much of today’s AI is trained on data rooted in Western frameworks, dismissing non-Western practices and traditions.</li><li>The historical roots of this bias can be traced back to the Rockefeller family and their transformation of Western medicine.</li><li>AI guardrails often exclude perspectives outside the Western paradigm, perpetuating systemic inequities.</li><li>To create more equitable AI systems, marginalized perspectives must be integrated, funding equity promoted, and power structures challenged.</li></ul>

When AI Guardrails Uphold Systemic Racism: The Hidden Cost of Digital Bias

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