The recognition that systems inherit momentum from past actions, crucial for understanding why AI perpetuates biases and how knowledge infrastructure carries historical patterns.
Prarabdha karma—the fruits of past actions already set in motion—explains why intention alone cannot instantly transform systems. Applied to AI and knowledge infrastructure, this concept illuminates a persistent problem: models trained on historical data encode historical injustice; institutions built on exclusionary frameworks perpetuate exclusion despite good intentions. Patanjali recognized that transformation requires working with, not against, accumulated momentum. We cannot simply declare AI systems neutral or knowledge institutions reformed; we must trace the karma embedded in training data, institutional structures, and epistemological assumptions. The future of knowledge demands honest accounting of this inheritance: what patterns are we amplifying? What historical power structures does our technology reinforce? Understanding prarabdha karma in systems design means acknowledging that change is gradual, requires sustained effort against momentum, and demands we take responsibility for what we have set in motion.
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