Synopsis
This book documents a failure that manifested before it was named.
The Wrench is a forensic examination of epistemic drift in AI-assisted work - the precise moments when fluent, confident systems quietly fracture trust and distort human judgment without triggering an error message. While most discourse focuses on hypothetical future risks, this record documents what has already occurred within the human-machine loop.
Who this book is for:
- Engineers and architects: Those building or implementing LLM-integrated workflows.
- Decision-makers: Leaders delegating high-stakes cognitive labor to autonomous systems.
- Researchers: Professionals in HCI, cognitive science, and AI reliability.
- Knowledge workers: Editors, analysts, and journalists operating in interpretation-heavy environments.
- Regulators and policy professionals: Evaluating AI reliability and accountability through a non-technical lens.
A forensic departure:
- Not a manifesto: An empirical record of interaction breakdowns.
- Structural vocabulary: A technical framework for identifying epistemic failure modes.
- Mechanical trust: Human-AI trust treated as a high-precision interface, not a psychological abstraction.
Addressing the challenges of modern AI interaction:
- Symptom Detection: Recognizing when a system is "confidently wrong" or producing subtle AI hallucinations.
- Trust & Judgment: Navigating the quiet erosion of human judgment and the fracture of professional trust.
- Problem-Solving: Practical frameworks for monitoring performance and detecting model drift in real-time.
This is not a guide to productivity. You will find no prompt engineering techniques or generic ethics commentary here. The Wrench is a field manual for recognizing the subtle erosion of epistemic integrity in real time.
All claims are falsifiable. All assertions are disputable. Authority rests with the reader.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. A forensic account of how fluent AI interaction can fracture without warning. This book introduces a structured vocabulary for a rupture that was felt before it was named.The Wrench documents epistemic drift in AI-assisted work-the moment when confident, coherent systems begin distorting judgment without triggering an error message.While most discussions of AI risk speculate about the future, this record examines what has already occurred. It traces how trust erodes in real time, how fluency masks structural failure, and how relational interfaces obscure mechanical limits.This is not a productivity guide. It is not prompt engineering advice. It is a forensic manual.Who This Book Is ForEngineers & Architects - Designing or integrating LLM-based systems into consequential workflows. Decision-Makers - Delegating high-stakes cognitive labor to autonomous systems. Researchers - Working in human-computer interaction, cognitive science, and AI reliability. Regulators & Policy Professionals - Evaluating system accountability, transparency, and epistemic integrity.Core Themes- Recognizing when a system is confidently wrong - Detecting subtle fractures in judgment and trust - Identifying structural failure masked by fluency - Establishing frameworks for monitoring epistemic integrityThis is an empirical record of interaction breakdowns. All claims are falsifiable. Authority rests with the reader. Yes, AI fails. If Blink honors intuition, this book shows when relatable AI gives a "something is up" gutfeeling. Now you can put a finger on it. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789199117607
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Paperback. Etat : new. Paperback. A forensic account of how fluent AI interaction can fracture without warning. This book introduces a structured vocabulary for a rupture that was felt before it was named.The Wrench documents epistemic drift in AI-assisted work-the moment when confident, coherent systems begin distorting judgment without triggering an error message.While most discussions of AI risk speculate about the future, this record examines what has already occurred. It traces how trust erodes in real time, how fluency masks structural failure, and how relational interfaces obscure mechanical limits.This is not a productivity guide. It is not prompt engineering advice. It is a forensic manual.Who This Book Is ForEngineers & Architects - Designing or integrating LLM-based systems into consequential workflows. Decision-Makers - Delegating high-stakes cognitive labor to autonomous systems. Researchers - Working in human-computer interaction, cognitive science, and AI reliability. Regulators & Policy Professionals - Evaluating system accountability, transparency, and epistemic integrity.Core Themes- Recognizing when a system is confidently wrong - Detecting subtle fractures in judgment and trust - Identifying structural failure masked by fluency - Establishing frameworks for monitoring epistemic integrityThis is an empirical record of interaction breakdowns. All claims are falsifiable. Authority rests with the reader. Yes, AI fails. If Blink honors intuition, this book shows when relatable AI gives a "something is up" gutfeeling. Now you can put a finger on it. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9789199117607
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Paperback. Etat : new. Paperback. A forensic account of how fluent AI interaction can fracture without warning. This book introduces a structured vocabulary for a rupture that was felt before it was named.The Wrench documents epistemic drift in AI-assisted work-the moment when confident, coherent systems begin distorting judgment without triggering an error message.While most discussions of AI risk speculate about the future, this record examines what has already occurred. It traces how trust erodes in real time, how fluency masks structural failure, and how relational interfaces obscure mechanical limits.This is not a productivity guide. It is not prompt engineering advice. It is a forensic manual.Who This Book Is ForEngineers & Architects - Designing or integrating LLM-based systems into consequential workflows. Decision-Makers - Delegating high-stakes cognitive labor to autonomous systems. Researchers - Working in human-computer interaction, cognitive science, and AI reliability. Regulators & Policy Professionals - Evaluating system accountability, transparency, and epistemic integrity.Core Themes- Recognizing when a system is confidently wrong - Detecting subtle fractures in judgment and trust - Identifying structural failure masked by fluency - Establishing frameworks for monitoring epistemic integrityThis is an empirical record of interaction breakdowns. All claims are falsifiable. Authority rests with the reader. Yes, AI fails. If Blink honors intuition, this book shows when relatable AI gives a "something is up" gutfeeling. Now you can put a finger on it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9789199117607
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