Klesha Identification in AI Bias and Belief Systems

Patanjali identifies five kleshas—fundamental obstacles to clear knowing: ignorance, egoism, attachment, aversion, and fear of death. These psychological patterns generate distorted perception and poor decisions. Modern AI systems, trained on human data, inherit these same kleshas. Algorithmic bias often reflects aversion (rejecting certain groups) or attachment (favoring profitable outcomes). Ignorance persists when training data omits crucial perspectives. By applying Patanjali's klesha framework, AI developers and users can systematically identify and interrogate these obstacles within systems and themselves. This moves beyond surface "fairness" fixes to psychological root causes. Knowledge platforms should make kleshas visible: helping users recognize when they're adopting biased conclusions, when fear shapes their inquiry, when ego resists contrary evidence. The future of knowledge depends on conscious obstacle-identification—using Patanjali's psychological map to navigate both AI systems and our own corrupted patterns of knowing.