Items related to Designing Human-Centric AI Experiences: Applied UX...
Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence (Design Thinking) - Softcover
Synopsis
User experience (UX) design practices are evolving as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core.
AI brings a fundamental shift to how we design products. Instead of programming a system to do a specific action, AI teams are responsible for curating outcomes based on algorithms and large amounts of data. AI systems are dynamic, they change over time, and their user experience needs to adapt to this change. The complexity of these systems requires deeper collaborations with various disciplines.
The dynamic nature of AI systems calls for a shift in how we think about designing intelligent products and how we work, communicate and collaborate within teams.
'Designing Human-Centric AI Experiences' will explore this problem and address the challenges and opportunities in UX design for AI/ML systems. We look at best practices for designers, managers, and product creators and describe how individuals from non-technical backgrounds can collaborate effectively with AI and Machine learning teams.
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You will learn
- How to spot opportunities for applying AI in your organization.
- Advantages and limitations of using AI to solve problems.
- Best practices in UX design to build human-centric and ethical AI products.
- How to collaborate and communicate effectively with AI/ML tech teams.
Who should read this book
You should read this book if you are a designer, technologist, researcher, manager, or a founder working with or interested in building human-centered AI products. No prior experience with AI is required to read this book. This book can help you identify opportunities for using Artificial Intelligence to solve problems and create desirable AI products. The contents of this book are also relevant for developers interested in building intuitive interfaces for AI-based solutions.
"synopsis" may belong to another edition of this title.
About the Author
Akshay Kore is a Senior product designer and has led the design of AI products at Fortune 500 companies and high-growth startups. He studied Interaction design at IIT Bombay.
Akshay has written articles for various publications like Hackernoon, The Startup, UX Planet, UX collective, etc., on user experience design, artificial intelligence, and voice interfaces. He frequently talks about designing AI products at conferences, design schools, organizations, and podcasts. Currently, he lives in Bangalore with his wife and two cats.
From the Back Cover
User experience (UX) design practices are evolving as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core.
AI brings a fundamental shift to how we design products. Instead of programming a system to do a specific action, AI teams are responsible for curating outcomes based on algorithms and large amounts of data. AI systems are dynamic, they change over time, and their user experience needs to adapt to this change. The complexity of these systems requires deeper collaborations with various disciplines.
The dynamic nature of AI systems calls for a shift in how we think about designing intelligent products and how we work, communicate and collaborate within teams.
'Designing Human-Centric AI Experiences' will explore this problem and address the challenges and opportunities in UX design for AI/ML systems. We look at best practices for designers, managers, and product creators and describe how individuals from non-technical backgrounds can collaborate effectively with AI and Machine learning teams.
-----
You will learn
- How to spot opportunities for applying AI in your organization.
- Advantages and limitations of using AI to solve problems.
- Best practices in UX design to build human-centric and ethical AI products.
- How to collaborate and communicate effectively with AI/ML tech teams.
"About this title" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX designs role in making technologies inclusive and enabling user collaboration with AI. AI/ML-based systems have changed the way of traditional UX design. Instead of programming a method to do a specific action, creators of these systems provide data and nurture them to curate outcomes based on inputs. These systems are dynamic and while AI systems change over time, their user experience, in many cases, does not adapt to this dynamic nature. Applied UX Design for Artificial Intelligence will explore this problem, addressing the challenges and opportunities in UX design for AI/ML systems, look at best practices for designers, managers, and product creators and showcase how individuals from a non-technical background can collaborate effectively with AI and Machine learning teams. You Will Learn:Best practices in UX design when building human-centric AI products or featuresAbility to spot opportunities for applying AI in their organizationsAdvantages and limitations of AI when building software productsAbility to collaborate and communicate effectively with AI/ML tech teams UX design for different modalities (voice, speech, text, etc.)Designing ethical AI system Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781484280874
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Paperback. Condition: New. 1st ed. User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design's role in making technologies inclusive and enabling user collaboration with AI. AI/ML-based systems have changed the way of traditional UX design. Instead of programming a method to do a specific action, creators of these systems provide data and nurture them to curate outcomes based on inputs. These systems are dynamic and while AI systems change over time, their user experience, in many cases, does not adapt to this dynamic nature. Applied UX Design for Artificial Intelligence will explore this problem, addressing the challenges and opportunities in UX design for AI/ML systems, look at best practices for designers, managers, and product creators and showcase how individuals from a non-technical background can collaborate effectively with AI and Machine learning teams. You Will Learn:Best practices in UX design when building human-centric AI products or featuresAbility to spot opportunities for applying AI in their organizationsAdvantages and limitations of AI when building software productsAbility to collaborate and communicate effectively with AI/ML tech teams . UX design for different modalities (voice, speech, text, etc.)Designing ethical AI system. Seller Inventory # LU-9781484280874
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