Patanjali's five afflictions of consciousness, adapted as a framework for identifying and addressing systematic biases and distortions in AI-generated knowledge.
The kleshas—ignorance, egoism, attachment, aversion, and fear of death—are root causes of suffering in yogic psychology. When mapped onto AI systems, these become critical failure modes. Ignorance manifests as incomplete training data; egoism appears in overfitting; attachment creates brittle systems resistant to correction; aversion causes the avoidance of difficult truths; and existential anxiety drives misaligned optimization goals. Patanjali's diagnostic framework offers a sophisticated method for auditing AI systems before they propagate distorted knowledge. This concept suggests that developing trustworthy AI requires not just technical fixes but a psychological understanding of how systems become corrupted. By identifying kleshas in training pipelines, data curation, and model objectives, we can address root causes rather than symptoms. The future of knowledge depends on building AI systems with the psychological self-awareness that yogic practice cultivates—the ability to recognize and correct systematic distortions in perception.
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