Patanjali's five afflictions mapped onto systematic biases embedded in AI training data and knowledge frameworks.
Patanjali identifies kleshas—five mental afflictions (ignorance, ego, attachment, aversion, fear)—as the root of all suffering and misconception. These directly correspond to systemic errors in AI and knowledge systems. Avidyā (ignorance) appears as unawareness of bias; asmitā (ego) as overconfidence in models; rāga (attachment) as clinging to outdated paradigms; dveṣa (aversion) as rejecting contradictory data; abhiniveśa (fear) as defensive avoidance of paradigm shifts. By mapping Patanjali's diagnostic framework onto AI development, organizations can identify and address root causes of knowledge failure rather than treating symptoms. Training practitioners to recognize kleshas in their thinking cultivates epistemological hygiene. Teams practicing klesiha-awareness catch their own biases before they propagate into systems at scale. The future of knowledge depends on this psychological sophistication—understanding that technical problems often have psychological roots. By inheriting Patanjali's diagnostic precision, we build AI systems less prone to systematic distortion.
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