Klesha Identification in Knowledge Systems

The kleshas—avidya (ignorance), asmita (ego), raga (attachment), dvesha (aversion), and abhinivesha (fear)—are Patanjali's map of mental afflictions that cloud perception and perpetuate suffering. These same patterns corrupt knowledge systems. Avidya appears as gaps in training data; asmita as model overconfidence; raga as datasets biased toward preferred outcomes; dvesha as systematic exclusion of challenging information; abhinivesha as reluctance to update outdated knowledge. By recognizing these klesha patterns in AI systems, practitioners can diagnose why knowledge remains distorted. A knowledge platform using klesha-identification would audit its systems for these specific afflictions rather than treating bias generically. Patanjali teaches that recognizing kleshas is the first step toward transcending them. Applied to AI, this means developing specific interventions for each type of distortion: blind spots require diverse data sources; ego-bias requires adversarial testing; attachment-bias requires competing models; aversion-bias requires inclusive datasets; fear-of-change requires versioning systems that embrace evolution.