• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% rabatt på allt med kod: NYSTART10 →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Ekonomi och Ledarskap
    2. Företagsekonomi
    3. Affärsförhandlingar

    AI in the Workplace

    AvAndrew Pilny,Camille Endacott

    Häftad, Engelska, 2025

    329 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Offers a smart, witty guide to understanding AI's role in the future of work With 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. AI in the Workplace 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. AI in the Workplace 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 equips readers to think critically and act thoughtfully in the evolving AI landscape, whether that means embracing tools, resisting trends, or something in between. Helping readers grasp how AI is not simply replacing human labor, but reorganizing work itself, AI in the Workplace: Introduces the novel Human-Story-Text-AI Network model to conceptualize AI's integration into organizational lifeExamines algorithmic management through a critical lens to offer a fresh perspective on emerging managerial practicesDiscusses overlooked issues such as bias in training data and the sociopolitical dimensions of data-centric AIIncludes hands-on thought experiments at the end of each chapter to stimulate discussion and critical thinkingExplores “Singularity Management” and the implications of AI on human roles, ethics, and empathy in organizationsOffers a five-part framework (the ”5 Es”) to guide ethical and strategic decision-making in AI-driven environmentsProvides a strategy that balances innovation and safety for regulating AI in the workplacePerfect for students and professionals alike, AI in the Workplace serves 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.

    Produktinformation

    • Utgivningsdatum:2025-11-26
    • Mått:147 x 224 x 18 mm
    • Vikt:0 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:208
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394247561

    Utforska kategorier

    • Affärsförhandlingar inom Ekonomi och Ledarskap
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    ANDREW PILNY, is an Associate Professor in the departments of Communication and Sociology at the University of Kentucky. CAMILLE ENDACOTT, is an Assistant Professor in the Department of Communication Studies at the University of North Carolina, Charlotte. JEFFREY W. TREEM, is the Theodore R. and Annie Laurie Sills Professor at the Northwestern University Medill School of Journalism, Media, Integrated Marketing Communications.

    Innehållsförteckning

    • Preface ixAbout the Authors xiAi Use Disclosure Statement xiii1 Organizing in the Age of AI 1Metaphors of AI 2A Brief History of Organizing as Communication Networks 4A Preview of the Rest of This Book 192 AI and Algorithmic Management 21A Definition: What Is (Not) AI? 23How Does AI Learn? 29Unpacking Algorithmic Management 33A Sociomaterial Soup: Where Technology and Human Practices Stew Together 34The Nature of Algorithms 36On Coevolution 38Coleman’s Boat 39Singularity Management 42Thought Experiment: The Algorithmic Apprentice 453 How Do Organizations Even Use AI? 47An Introduction to the Typology 48Predictive AI 50Perceptual AI 53Generative AI 55Decisional AI 58Optimization AI 61Organizational AI 63Robotic AI 66Broader Challenges of AI in the Workplace 694 Consequences of Algorithmic Management 73AI Is Coming for Some Jobs 73You Can’t Argue with an Algorithm 76Reskill, Upskill, for What Skill? 79Somebody’s Watching You 82When AI Is Not So Intelligent 85AI’s Training Data Is Biased… and Racist and Sexist and Ageist and Xenophobic 89We Can, but Should We? 94Thought Experiment: The Great Malaise 95The Great Question 965 AI Literacy and Large Language Models 97Tokenization: How LLMs Gobble Up Text Data 97Reinforcement Learning Through Human Feedback 110How Are LLMs Evaluated? 112Issues with Using LLMs in the Workplace 113Can You Spot a Bot? 118Thought Experiment: The Hallucinated Memo 1216 Deciding Who Does What in an AI-Workplace 123Finding Our Way in the Marketplace of AI Solutions 124Explicitness 126Evaluation 129Experimentation 130Engagement 132Ethics 134The Five Es, Revisited 137Thought Exercise: Training HelpBot: The Perfect Hire, or a Perfect Disaster? 151Some Important Questions to Think About 1527 A Framework to Regulate, Survive, and Prosper with AI 153Risk #1: Weaponization 153Risk #2: Loss of Control 155Risk #3: Reliability and Validity 155Risk #4: Explainability and Interpretability 156From Viagra to Male Enhancement: The Need for Regulating AI 157Navigating AI: A Worker’s Guide 169Becoming an Expert Reverse Engineer 169Decoding AI’s Vision 170How to Make a Peanut Butter and Jelly Sandwich 171Waste Your Time 174Resistance: When to Push Back Against the Algorithm 177Conclusion 180One Final Thought Experiment: The Elephants Who Paint Pictures 181Index 183