The five fundamental afflictions of mind—ignorance, egoism, attachment, aversion, and fear—as a framework for identifying and mitigating systematic biases in AI and human knowing.
Patanjali identifies five kleshas—fundamental mental distortions—that cloud perception and cause suffering: avidya (ignorance), asmita (ego-identification), raga (attachment), dvesha (aversion), and abhinivesha (fear of loss). These are not personal flaws but universal patterns. Remarkably, they describe AI system biases precisely: models trained on ignorant data, optimized for narrow metrics (ego), attached to profitable outcomes, averse to disruption, and clinging to existing patterns. Human knowledge workers suffer these same kleshas: we ignore what doesn't fit our worldview, defend our expertise against challenge, cling to beloved theories despite evidence, reject contradictory data, and fear obsolescence. The future of knowledge requires systematic methods for recognizing and neutralizing kleshas at every level: training data audits, transparent incentive structures, epistemic humility, and communities of practice that support healthy skepticism. Understanding the kleshas provides a non-moralistic way to address bias: these are universal human (and algorithmic) patterns, not failures of bad actors.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.