{"product_id":"why-do-ai-systems-hallucinate-9798233768149","title":"Why Do AI Systems Hallucinate?","description":"\u003cp\u003e • Author(s): Sandeep Chavan\u003cbr\u003e • Publisher: Gyrus Vision\u003cbr\u003e • Publisher Imprint: Gyrus Vision\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhy do AI systems hallucinate-even when trained on massive datasets and refined with advanced alignment techniques?\u003c\/p\u003e\u003cp\u003eMost explanations blame insufficient data, model scale, overfitting, or probabilistic uncertainty. But what if hallucination is not an implementation flaw at all? What if it is a structural outcome of how generative systems define stability?\u003c\/p\u003e\u003cp\u003eIn \u003cem\u003eWhy Do AI Systems Hallucinate?\u003c\/em\u003e, Sandeep Chavan presents a systems-theory reframing of hallucination grounded in coherence dynamics rather than surface performance metrics. Using the Chavanian Axioms as a diagnostic lens, this book argues that hallucination emerges from a deeper architectural commitment: forced resolution under continuity constraints without true dissipation.\u003c\/p\u003e\u003cp\u003eThis book does not propose a new architecture. It does not offer quick technical patches. Instead, it asks a more foundational question: under what structural conditions does hallucination inevitably converge?\u003c\/p\u003e\u003cp\u003eThrough accessible but rigorous analysis, the book explores: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhy hallucination is misunderstood as \"wrong information\"\u003c\/li\u003e\n\u003cli\u003eThe difference between fluency and truth\u003c\/li\u003e\n\u003cli\u003eHow scaling amplifies residue rather than eliminating it\u003c\/li\u003e\n\u003cli\u003eWhy fine-tuning and RLHF reshape behavior but not equilibrium\u003c\/li\u003e\n\u003cli\u003eWhy probabilistic confidence cannot detect structural incoherence\u003c\/li\u003e\n\u003cli\u003eWhat a non-hallucinating system would require-axiomatically\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eRather than treating hallucination as a temporary engineering problem, this work positions it as a coherence outcome. When systems must always resolve, must always continue, and cannot suspend under uncertainty, fabrication becomes the most stable option.\u003c\/p\u003e\u003cp\u003eFor AI researchers, engineers, policymakers, and critical thinkers, this book offers a structural framework to test systems beyond accuracy benchmarks. It introduces coherence audits, residue diagnostics, and equilibrium stress tests-without prescribing specific code or architectures.\u003c\/p\u003e\u003cp\u003eThis is not an anti-AI book. It is a design-maturity book.\u003c\/p\u003e\u003cp\u003eIf AI is to be trusted in education, governance, healthcare, and decision-making, stability must precede performance. Optimization builds capability. Coherence builds trust.\u003c\/p\u003e\u003cp\u003eThis book challenges the field to shift from asking \u003cem\u003ehow to reduce hallucination\u003c\/em\u003e to asking \u003cem\u003ewhy hallucination converges\u003c\/em\u003e.\u003c\/p\u003e\u003cp\u003eBecause the geometry of a system determines its failure mode.\u003c\/p\u003e","brand":"Gyrus Vision","offers":[{"title":"Paperback","offer_id":47569404887191,"sku":"9798233768149","price":5973.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798233768149.webp?v=1774875187","url":"https:\/\/atlanticbooks.com\/products\/why-do-ai-systems-hallucinate-9798233768149","provider":"Atlantic Books","version":"1.0","type":"link"}