{"product_id":"ux-for-ai-a-framework-for-designing-ai-driven-products-paperback-softback-9781394345922","title":"UX for AI; A Framework for Designing AI-Driven Products (Paperback \/ softback) 9781394345922","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eUX for AI\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Framework for Designing AI-Driven Products\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eGreg Nudelman (Author), Daria Kempka (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394345922, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 6 May 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e352 pages\u003cbr\u003e23.1 x 18.5 x 2 cm, 0.499 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\u003eLearn to research, plan, design, and test the UX of AI-powered products\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eUnlock the future of design with \u003ci\u003eUX for AI\u003c\/i\u003e—your indispensable guide to not only surviving but thriving in a world powered by artificial intelligence. Whether you're a seasoned UX designer or a budding design student, this book offers a lifeline for navigating the new normal, ensuring you stay relevant, valuable, and indispensable to your organization. \u003c\/p\u003e\n\u003cp\u003eIn \u003ci\u003eUX for AI: A Framework for Designing AI-Driven Products,\u003c\/i\u003e Greg Nudelman—a seasoned UX designer and AI strategist—delivers a battle-tested framework that helps you keep your edge, thrive in your design job, and seize the opportunities AI brings to the table. Drawing on insights from 35 real-world AI projects and acknowledging the hard truth that 85% of AI initiatives fail, this book equips you with the practical skills you need to reverse those odds. \u003c\/p\u003e\n\u003cp\u003eYou'll gain powerful tools to research, plan, design, and test user experiences that seamlessly integrate human-AI interactions. From practical design techniques to proven user research methods, this is the essential guide for anyone determined to create AI products that not only succeed but set new standards of value and impact. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eInside the book:\u003c\/b\u003e \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eHands-on exercises: Build your confidence and skills with practice UX design tasks like Digital Twin and Value Matrix, which you can immediately apply to your own AI projects.\u003c\/li\u003e \u003cli\u003eCommon AI patterns and best practices: Explore design strategies for LLMs (Large Language Models), search engines, copilots, and more.\u003c\/li\u003e \u003cli\u003eProven user research strategies: Learn how to uncover user needs and behaviors in this brave new world of AI-powered design.\u003c\/li\u003e \u003cli\u003eReal-world case studies: See how simple, practical UX approaches have prevented multimillion-dollar failures and unlocked unprecedented value.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for any UX designer working with AI-enabled and AI-driven products, \u003ci\u003eUX for AI\u003c\/i\u003e is also a must-read resource for designers-in-training and design students with an interest in artificial intelligence and contemporary design.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eIntroduction xxv\u003c\/p\u003e \u003cp\u003eHow to Use This Book xxxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1—Framing the Problem 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Case Study: How to Completely F*ck Up Your AI Project 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Boiling Pot of Spaghetti 3\u003c\/p\u003e \u003cp\u003eFail #1: Try to Replace a Trained Expert with AI 4\u003c\/p\u003e \u003cp\u003eFail #2: Forget About Cost vs. Benefit 4\u003c\/p\u003e \u003cp\u003eFail #3: No ML Training Data? No Problem! 5\u003c\/p\u003e \u003cp\u003eFail #4: It Makes No Difference What Question Your AI Model Is Answering 6\u003c\/p\u003e \u003cp\u003eFail #5: Don’t Worry About User Research—You Have an SME! 6\u003c\/p\u003e \u003cp\u003eFinal Thoughts 8\u003c\/p\u003e \u003cp\u003eReference 9\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 The Importance of Picking the Right Use Case 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePresuming That AI Will Be Telling Experts How to Do Their Job Is a Red Flag 11\u003c\/p\u003e \u003cp\u003eAsk a Better Question 12\u003c\/p\u003e \u003cp\u003eReference 14\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Storyboarding for AI Projects 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy Bother with a Storyboard? 22\u003c\/p\u003e \u003cp\u003eHow to Create a Storyboard 24\u003c\/p\u003e \u003cp\u003eEstablishing Shot 24\u003c\/p\u003e \u003cp\u003eThings 25\u003c\/p\u003e \u003cp\u003ePeople 26\u003c\/p\u003e \u003cp\u003eFaces 26\u003c\/p\u003e \u003cp\u003eTransitions 27\u003c\/p\u003e \u003cp\u003eStoryboard Conclusion 31\u003c\/p\u003e \u003cp\u003eStoryboarding for AI 34\u003c\/p\u003e \u003cp\u003eFinal Thoughts 36\u003c\/p\u003e \u003cp\u003eDesign Exercise: Create Your Own Storyboard 36\u003c\/p\u003e \u003cp\u003eStoryboarding Exercise Example: Death Clock 37\u003c\/p\u003e \u003cp\u003eReferences 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Digital Twin—Digital Representation of the Physical Components of Your System 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDigital Twin of a Wind Turbine Motor 39\u003c\/p\u003e \u003cp\u003eThe Digital Twin Is an Essential Modeling Exercise for Designing AI-Driven Products 43\u003c\/p\u003e \u003cp\u003eHow to Build a Digital Twin: An Example 44\u003c\/p\u003e \u003cp\u003eWait, There’s More! 46\u003c\/p\u003e \u003cp\u003eDesign Exercise: Create Your Own Digital Twin 48\u003c\/p\u003e \u003cp\u003eReflect 49\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Life Clock Digital Twin 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Value Matrix—AI Accuracy Is Bullshit. Here’s What UX Must Do About It 51\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Big Secret 51\u003c\/p\u003e \u003cp\u003eConfusion Matrix: How Can Accurate AI Be Wrong? 53\u003c\/p\u003e \u003cp\u003eValue Matrix: The AI Tool for the Real World 55\u003c\/p\u003e \u003cp\u003eTraining AI on Real-Life Outcomes to “Think” Like a Human 56\u003c\/p\u003e \u003cp\u003eOne More Example 58\u003c\/p\u003e \u003cp\u003eFinal Thoughts: The Importance of Human Cost\/Benefit 58\u003c\/p\u003e \u003cp\u003eDesign Exercise: Create Your Own Value Matrix 59\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Life Clock Value Matrix 60\u003c\/p\u003e \u003cp\u003eReferences 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2—AI Design Patterns 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Case Study: What Made Sumo Copilot Successful? 69\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStrong Use Case 69\u003c\/p\u003e \u003cp\u003eClear Vision 70\u003c\/p\u003e \u003cp\u003eDedicated Full-Screen UI 71\u003c\/p\u003e \u003cp\u003eAI-Driven Autocomplete 71\u003c\/p\u003e \u003cp\u003eNext-Steps Suggestions 73\u003c\/p\u003e \u003cp\u003eFinal Words 74\u003c\/p\u003e \u003cp\u003eReferences 74\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 UX Best Practices for SaaS Copilot Design 75\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe More Important the Task, the More Real Estate Is Required 75\u003c\/p\u003e \u003cp\u003eSide Panel 75\u003c\/p\u003e \u003cp\u003eLarge Overlay 76\u003c\/p\u003e \u003cp\u003eFull Page 77\u003c\/p\u003e \u003cp\u003eContents xix\u003c\/p\u003e \u003cp\u003eSaaS Copilot Is Stateful 78\u003c\/p\u003e \u003cp\u003eSpecialized Fine-Tuned ChatGPT Model 78\u003c\/p\u003e \u003cp\u003ePlug-Ins: Integrated Continuous Learning About Your Specific System 79\u003c\/p\u003e \u003cp\u003eThe IA of the AI Is Straightforward, Focused on Chat 80\u003c\/p\u003e \u003cp\u003ePromptbooks: No Need to Twist into Pretzels to Write Prompts 82\u003c\/p\u003e \u003cp\u003eFinal Thoughts 82\u003c\/p\u003e \u003cp\u003eDesign Exercise: Create Your Own Mobile Copilot 83\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Life Clock Copilot 84\u003c\/p\u003e \u003cp\u003eReferences 87\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Reporting—One of the Most Important Copilot Use Cases 89\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eZoom AI Companion 89\u003c\/p\u003e \u003cp\u003eMeeting Summary 89\u003c\/p\u003e \u003cp\u003eAnswer Questions About the Meeting 89\u003c\/p\u003e \u003cp\u003eSet It and Forget It 90\u003c\/p\u003e \u003cp\u003eUI Modality Switch 90\u003c\/p\u003e \u003cp\u003eMicrosoft Security Copilot 91\u003c\/p\u003e \u003cp\u003eExecutive Summary: A General Report 93\u003c\/p\u003e \u003cp\u003ePinboard: A Specialized Report Focused Only on Selected Key Details 93\u003c\/p\u003e \u003cp\u003eInfo for Report: Ignore Automatically vs. Pick Manually? 94\u003c\/p\u003e \u003cp\u003eSecurity and Privacy 97\u003c\/p\u003e \u003cp\u003eDesign Exercise: Create Your Own Copilot Report 97\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Life Clock Copilot Report 98\u003c\/p\u003e \u003cp\u003eDaily Report 98\u003c\/p\u003e \u003cp\u003eWeekly Report 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 LLM Design Patterns 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRestating 105\u003c\/p\u003e \u003cp\u003eAuto-Complete 106\u003c\/p\u003e \u003cp\u003eTalk-Back 108\u003c\/p\u003e \u003cp\u003eInitial Suggestions 108\u003c\/p\u003e \u003cp\u003eNext Steps 111\u003c\/p\u003e \u003cp\u003eRegen Tweaks 113\u003c\/p\u003e \u003cp\u003eGuardrails 113\u003c\/p\u003e \u003cp\u003eDesign Exercise: Try Out the LLM Patterns 116\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: “Life Copilot Plus” 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Search UX Revolution: LLM AI in Search UIs 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Current State of Search 121\u003c\/p\u003e \u003cp\u003eGoogle Search 121\u003c\/p\u003e \u003cp\u003eAmazon Search 122\u003c\/p\u003e \u003cp\u003eThe “Mysteries That Are Not Scary” Problem 122\u003c\/p\u003e \u003cp\u003eEnter LLMs 126\u003c\/p\u003e \u003cp\u003eDesign Exercise: Design Your Own LLM Search UI 130\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Life Copilot LLM Search 130\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 AI-Search Part 2: “Eye Meat” and DOI Sort Algorithms 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Are Dynamic Dashboards? 133\u003c\/p\u003e \u003cp\u003eBeware of Bias in AI Recommendations 137\u003c\/p\u003e \u003cp\u003eDOI: Degree of Interest\/Sort Algorithms 138\u003c\/p\u003e \u003cp\u003eDesign Exercise: Create Your Own Dynamic Dashboards and Sort UI 143\u003c\/p\u003e \u003cp\u003eReferences 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Modern Information Architecture for AI-First Applications 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDesign Pattern du Jour: The Canvas 145\u003c\/p\u003e \u003cp\u003eIs Information Architecture Dead? 146\u003c\/p\u003e \u003cp\u003eAmazon.com: Conventional Approach 148\u003c\/p\u003e \u003cp\u003e“AI-Minus”? Homepage 148\u003c\/p\u003e \u003cp\u003eConventional Search Results Page 149\u003c\/p\u003e \u003cp\u003eAI-Plus Item Detail Page 150\u003c\/p\u003e \u003cp\u003eConventional Maintenance Pages 151\u003c\/p\u003e \u003cp\u003eAI-First Amazon.com Redesign 151\u003c\/p\u003e \u003cp\u003eAI-First Analysis Overview Page 151\u003c\/p\u003e \u003cp\u003eAI-First Category Analysis Pages 152\u003c\/p\u003e \u003cp\u003eAI-First LLM Search 155\u003c\/p\u003e \u003cp\u003eAI-First Item Detail 156\u003c\/p\u003e \u003cp\u003eAI-First Maintenance Pages 159\u003c\/p\u003e \u003cp\u003eLong Live Information Architecture! 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Forecasting with Line Graphs 165\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLinear Regression 166\u003c\/p\u003e \u003cp\u003eR-Squared 167\u003c\/p\u003e \u003cp\u003eR vs. R-Squared 169\u003c\/p\u003e \u003cp\u003eForecasting with AI 169\u003c\/p\u003e \u003cp\u003eNonlinear Regression 170\u003c\/p\u003e \u003cp\u003eSeasonality 172\u003c\/p\u003e \u003cp\u003eContents xxi\u003c\/p\u003e \u003cp\u003eForecasting an Aggregate Variable 173\u003c\/p\u003e \u003cp\u003eFinal Words 175\u003c\/p\u003e \u003cp\u003eDesign Exercise: Design Your Own Forecasting UI 175\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Life Clock Forecasting 176\u003c\/p\u003e \u003cp\u003eReferences 177\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Designing for Anomaly Detection 179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy Is Detecting Anomalies Important? 179\u003c\/p\u003e \u003cp\u003eFour Main Anomaly Types 180\u003c\/p\u003e \u003cp\u003ePoint Anomaly 181\u003c\/p\u003e \u003cp\u003eChange Point Anomaly 185\u003c\/p\u003e \u003cp\u003eContextual Anomaly 188\u003c\/p\u003e \u003cp\u003eCurve Shape Anomalies 192\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Life Clock Anomaly Detection UI 195\u003c\/p\u003e \u003cp\u003eReferences 196\u003c\/p\u003e \u003cp\u003eGetting Ready for AI-pocalypse: Shorthand UX Design Notation as AI Prompt 197\u003c\/p\u003e \u003cp\u003eShorthand UX Design Notation 197\u003c\/p\u003e \u003cp\u003eShorthand Notation as AI Prompt to Go Directly to Working Code 198\u003c\/p\u003e \u003cp\u003eWhat Is Human Work? 202\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 UX for Agentic AI 203\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Are AI Agents? 203\u003c\/p\u003e \u003cp\u003eHow Do AI Agents Work? 204\u003c\/p\u003e \u003cp\u003eUse Case: CloudWatch Investigation with AI Agents 205\u003c\/p\u003e \u003cp\u003eFinal Thoughts 209\u003c\/p\u003e \u003cp\u003eReferences 211\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3—Research for AI Projects 213\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16 Case Study: MUSE\/Disciplined Brainstorming 215\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDesign Idea #1 215\u003c\/p\u003e \u003cp\u003eDesign Idea #2 217\u003c\/p\u003e \u003cp\u003eDesign Idea #3 217\u003c\/p\u003e \u003cp\u003eDesign Idea #4 218\u003c\/p\u003e \u003cp\u003eDesign Idea #5 218\u003c\/p\u003e \u003cp\u003eBut Wait, Did You Catch That? 219\u003c\/p\u003e \u003cp\u003eDesign Exercise: Create Your Novel Designs Using Bookending 221\u003c\/p\u003e \u003cp\u003eDesign Exercise Example: Novel Design Ideas for Life Clock 222\u003c\/p\u003e \u003cp\u003eReferences 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17 The New Normal: AI-Inclusive User-Centered Design Process 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn the Beginning … 223\u003c\/p\u003e \u003cp\u003eThe Monkey or the Pedestal? 225\u003c\/p\u003e \u003cp\u003eA New Way of User-Centered Thinking 226\u003c\/p\u003e \u003cp\u003eWhat the Heck Is a Spike? 226\u003c\/p\u003e \u003cp\u003eWhat Is the Role of Data? 227\u003c\/p\u003e \u003cp\u003eWhere Is the Customer in All This? 227\u003c\/p\u003e \u003cp\u003eWhy Is This Change Necessary? 227\u003c\/p\u003e \u003cp\u003eHow Does This Affect the Role of UX? 228\u003c\/p\u003e \u003cp\u003eDoes This Mean I Have to Learn About AI So That I Can Ask My Data Science Teammates Good Questions? 229\u003c\/p\u003e \u003cp\u003eFinal Handoff to Dev 229\u003c\/p\u003e \u003cp\u003eMany More Changes to Come 230\u003c\/p\u003e \u003cp\u003eReference 230\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18 AI and UX Research 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUX Techniques That Will Likely See Full Automation 235\u003c\/p\u003e \u003cp\u003eRoutine Usability Studies 235\u003c\/p\u003e \u003cp\u003eRoutine NPS Studies and Surveys 236\u003c\/p\u003e \u003cp\u003eCollecting and Organizing the Research Data 236\u003c\/p\u003e \u003cp\u003eTriangulation of Quantitative and Qualitative Insights 236\u003c\/p\u003e \u003cp\u003eUX Techniques That Will Be Radically Augmented 236\u003c\/p\u003e \u003cp\u003eCompetitive Analysis 237\u003c\/p\u003e \u003cp\u003eIdentification of Novel Use Cases 237\u003c\/p\u003e \u003cp\u003eRITE Studies 237\u003c\/p\u003e \u003cp\u003eUX Techniques That Will Become Increasingly Valuable 237\u003c\/p\u003e \u003cp\u003eCore Skills 237\u003c\/p\u003e \u003cp\u003eWorkshop Facilitation 238\u003c\/p\u003e \u003cp\u003eFormative Research, Field Studies, Ethnography, and Direct Observation 238\u003c\/p\u003e \u003cp\u003eVision Prototyping 238\u003c\/p\u003e \u003cp\u003eAugmenting the Executive Strategy 239\u003c\/p\u003e \u003cp\u003eAI Bullshit 239\u003c\/p\u003e \u003cp\u003eAI Strategic Analysis Tools That Replace Humans in Coming Up with Novel Ideas and Business Use Cases 239\u003c\/p\u003e \u003cp\u003eAI Heuristics Analysis Replacing User Research and Design 240\u003c\/p\u003e \u003cp\u003eAI Acting as “Synthetic Users” for the Purposes of Usability Research 240\u003c\/p\u003e \u003cp\u003eBuild Your Persona Using AI 240\u003c\/p\u003e \u003cp\u003eFinal Words 241\u003c\/p\u003e \u003cp\u003eReferences 242\u003c\/p\u003e \u003cp\u003eContents xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 19 RITE, the Cornerstone of Your AI Research 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRITE Study vs. Usability Test 247\u003c\/p\u003e \u003cp\u003e#1: RITE Studies Form the Core of the Design Process. Usability Tests Are Often Treated as QA 248\u003c\/p\u003e \u003cp\u003e#2: RITE Studies Demand the Simplest Appropriate Prototypes That Change Rapidly. Usability Tests Often Mean Fancy Rigid Prototypes 249\u003c\/p\u003e \u003cp\u003e#3: RITE Studies Produce Solutions. Usability Tests Produce Reports 250\u003c\/p\u003e \u003cp\u003eA Fringe Benefit of RITE Studies 251\u003c\/p\u003e \u003cp\u003eHow to Conduct a RITE Study 252\u003c\/p\u003e \u003cp\u003eA Few More RITE Rounds 255\u003c\/p\u003e \u003cp\u003eThe RITE Design Evolution 257\u003c\/p\u003e \u003cp\u003eDear Future: AI-Assisted RITE Methodology 257\u003c\/p\u003e \u003cp\u003eDesign Exercise: Run Your Own RITE Study 259\u003c\/p\u003e \u003cp\u003eReferences 259\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4—Bias and Ethics 263\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 20 Case Study: Asking Tough Questions Through Vision Prototyping 265\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReferences 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 21 All AI Is Biased 275\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Do You Expect When You Ask for “Biologist”? 275\u003c\/p\u003e \u003cp\u003eHow About “Basketball Player”? 275\u003c\/p\u003e \u003cp\u003eThird Time’s the Charm: “Depressed Person” 277\u003c\/p\u003e \u003cp\u003eReferences 281\u003c\/p\u003e \u003cp\u003eChapter 22 AI Ethics 283\u003c\/p\u003e \u003cp\u003eChapter 23 UX Is Dead. Long Live UX for AI! 299\u003c\/p\u003e \u003cp\u003eAI Is Happening for Us, Not to Us 299\u003c\/p\u003e \u003cp\u003eStaying on the Rollercoaster Is Optional 299\u003c\/p\u003e \u003cp\u003e“UX Elitism” Is Over 300\u003c\/p\u003e \u003cp\u003eDesigners Are “Ambassadors of Innovation” 300\u003c\/p\u003e \u003cp\u003eCore Skills Are in Demand 301\u003c\/p\u003e \u003cp\u003eCombine Low-Fi UX Tools and Sophisticated AI Models 301\u003c\/p\u003e \u003cp\u003eAI Is a “Wicked Problem” 301\u003c\/p\u003e \u003cp\u003eAI Is Just Too Important to Be Left to Data Scientists 302\u003c\/p\u003e \u003cp\u003eThe Best AI is Augmented Intelligence 302\u003c\/p\u003e \u003cp\u003eReferences 302\u003c\/p\u003e \u003cp\u003eIndex 303\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","offers":[{"title":"Brand New","offer_id":52165206573336,"sku":"9781394345922","price":25.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394345922.jpg?v=1781093353","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/ux-for-ai-a-framework-for-designing-ai-driven-products-paperback-softback-9781394345922","provider":"Freshly Printed Books","version":"1.0","type":"link"}