{"product_id":"ai-in-the-workplace-paperback-softback-9781394247561","title":"AI in the Workplace (Paperback \/ softback) 9781394247561","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAI in the Workplace\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eAndrew Pilny (Author), Camille Endacott (Author), Jeffrey W. Treem (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394247561, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 26 November 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e208 pages\u003cbr\u003e22.4 x 14.7 x 1.8 cm, 0.34 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eOffers a smart, witty guide to understanding AI's role in the future of work\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eWith AI tools now integrated into everything from hiring systems and team collaboration platforms to strategic decision-making processes, there’s a pressing need to move beyond either fear or hype. \u003ci\u003eAI in the Workplace\u003c\/i\u003e explores how artificial intelligence is reshaping organizational life, often in ways that are subtle yet deeply consequential. This book answers that need by providing an accessible, critical, and often humorous guide for understanding what AI is, how it works, and what it means for the ways we work and interact in professional settings. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eAI in the Workplace\u003c\/i\u003e demystifies AI through a blend of theory, storytelling, and practical insight. Readers are introduced to foundational AI concepts without overwhelming technical detail and are given frameworks to think through pressing questions of algorithmic management, workplace surveillance, bias, and ethics. Through contemporary case studies, real-world examples, reflective exercises, and actionable strategies, the book\u003ci\u003e \u003c\/i\u003eequips readers to think critically and act thoughtfully in the evolving AI landscape, whether that means embracing tools, resisting trends, or something in between. \u003c\/p\u003e\n\u003cp\u003eHelping readers grasp how AI is not simply replacing human labor, but reorganizing work itself, \u003ci\u003eAI in the Workplace:\u003c\/i\u003e \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eIntroduces the novel Human-Story-Text-AI Network model to conceptualize AI's integration into organizational life\u003c\/li\u003e \u003cli\u003eExamines algorithmic management through a critical lens to offer a fresh perspective on emerging managerial practices\u003c\/li\u003e \u003cli\u003eDiscusses overlooked issues such as bias in training data and the sociopolitical dimensions of data-centric AI\u003c\/li\u003e \u003cli\u003eIncludes hands-on thought experiments at the end of each chapter to stimulate discussion and critical thinking\u003c\/li\u003e \u003cli\u003eExplores “Singularity Management” and the implications of AI on human roles, ethics, and empathy in organizations\u003c\/li\u003e \u003cli\u003eOffers a five-part framework (the ”5 Es”) to guide ethical and strategic decision-making in AI-driven environments\u003c\/li\u003e \u003cli\u003eProvides a strategy that balances innovation and safety for regulating AI in the workplace\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for students and professionals alike\u003ci\u003e, AI in the Workplace \u003c\/i\u003eserves advanced undergraduate and graduate courses in Communication, Business, Technology Management, and related fields. It is also an invaluable resource for executive education and professional development in AI adoption, leadership, and organizational change.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eAbout the Authors xi\u003c\/p\u003e \u003cp\u003eAi Use Disclosure Statement xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Organizing in the Age of AI 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMetaphors of AI 2\u003c\/p\u003e \u003cp\u003eA Brief History of Organizing as Communication Networks 4\u003c\/p\u003e \u003cp\u003eA Preview of the Rest of This Book 19\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 AI and Algorithmic Management 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Definition: What Is (Not) AI? 23\u003c\/p\u003e \u003cp\u003eHow Does AI Learn? 29\u003c\/p\u003e \u003cp\u003eUnpacking Algorithmic Management 33\u003c\/p\u003e \u003cp\u003eA Sociomaterial Soup: Where Technology and Human Practices Stew Together 34\u003c\/p\u003e \u003cp\u003eThe Nature of Algorithms 36\u003c\/p\u003e \u003cp\u003eOn Coevolution 38\u003c\/p\u003e \u003cp\u003eColeman’s Boat 39\u003c\/p\u003e \u003cp\u003eSingularity Management 42\u003c\/p\u003e \u003cp\u003eThought Experiment: The Algorithmic Apprentice 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 How Do Organizations Even Use AI? 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAn Introduction to the Typology 48\u003c\/p\u003e \u003cp\u003ePredictive AI 50\u003c\/p\u003e \u003cp\u003ePerceptual AI 53\u003c\/p\u003e \u003cp\u003eGenerative AI 55\u003c\/p\u003e \u003cp\u003eDecisional AI 58\u003c\/p\u003e \u003cp\u003eOptimization AI 61\u003c\/p\u003e \u003cp\u003eOrganizational AI 63\u003c\/p\u003e \u003cp\u003eRobotic AI 66\u003c\/p\u003e \u003cp\u003eBroader Challenges of AI in the Workplace 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Consequences of Algorithmic Management 73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAI Is Coming for Some Jobs 73\u003c\/p\u003e \u003cp\u003eYou Can’t Argue with an Algorithm 76\u003c\/p\u003e \u003cp\u003eReskill, Upskill, for What Skill? 79\u003c\/p\u003e \u003cp\u003eSomebody’s Watching You 82\u003c\/p\u003e \u003cp\u003eWhen AI Is Not So Intelligent 85\u003c\/p\u003e \u003cp\u003eAI’s Training Data Is Biased… and Racist and Sexist and Ageist and Xenophobic 89\u003c\/p\u003e \u003cp\u003eWe Can, but Should We? 94\u003c\/p\u003e \u003cp\u003eThought Experiment: The Great Malaise 95\u003c\/p\u003e \u003cp\u003eThe Great Question 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 AI Literacy and Large Language Models 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTokenization: How LLMs Gobble Up Text Data 97\u003c\/p\u003e \u003cp\u003eReinforcement Learning Through Human Feedback 110\u003c\/p\u003e \u003cp\u003eHow Are LLMs Evaluated? 112\u003c\/p\u003e \u003cp\u003eIssues with Using LLMs in the Workplace 113\u003c\/p\u003e \u003cp\u003eCan You Spot a Bot? 118\u003c\/p\u003e \u003cp\u003eThought Experiment: The Hallucinated Memo 121\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Deciding Who Does What in an AI-Workplace 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFinding Our Way in the Marketplace of AI Solutions 124\u003c\/p\u003e \u003cp\u003eExplicitness 126\u003c\/p\u003e \u003cp\u003eEvaluation 129\u003c\/p\u003e \u003cp\u003eExperimentation 130\u003c\/p\u003e \u003cp\u003eEngagement 132\u003c\/p\u003e \u003cp\u003eEthics 134\u003c\/p\u003e \u003cp\u003eThe Five Es, Revisited 137\u003c\/p\u003e \u003cp\u003eThought Exercise: Training HelpBot: The Perfect Hire, or a Perfect Disaster? 151\u003c\/p\u003e \u003cp\u003eSome Important Questions to Think About 152\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 A Framework to Regulate, Survive, and Prosper with AI 153\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRisk #1: Weaponization 153\u003c\/p\u003e \u003cp\u003eRisk #2: Loss of Control 155\u003c\/p\u003e \u003cp\u003eRisk #3: Reliability and Validity 155\u003c\/p\u003e \u003cp\u003eRisk #4: Explainability and Interpretability 156\u003c\/p\u003e \u003cp\u003eFrom Viagra to Male Enhancement: The Need for Regulating AI 157\u003c\/p\u003e \u003cp\u003eNavigating AI: A Worker’s Guide 169\u003c\/p\u003e \u003cp\u003eBecoming an Expert Reverse Engineer 169\u003c\/p\u003e \u003cp\u003eDecoding AI’s Vision 170\u003c\/p\u003e \u003cp\u003eHow to Make a Peanut Butter and Jelly Sandwich 171\u003c\/p\u003e \u003cp\u003eWaste Your Time 174\u003c\/p\u003e \u003cp\u003eResistance: When to Push Back Against the Algorithm 177\u003c\/p\u003e \u003cp\u003eConclusion 180\u003c\/p\u003e \u003cp\u003eOne Final Thought Experiment: The Elephants Who Paint Pictures 181\u003c\/p\u003e \u003cp\u003eIndex 183\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Brand New","offer_id":52501143814424,"sku":"9781394247561","price":22.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394247561.jpg?v=1786212280","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/ai-in-the-workplace-paperback-softback-9781394247561","provider":"Freshly Printed Books","version":"1.0","type":"link"}