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Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence
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
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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.
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
-----
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.
492 pages, Paperback
Published August 13, 2022
21 people are currently reading
122 people want to read
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Displaying 1 - 3 of 3 reviews
August 13, 2023
Not a very dense book, but on an extremely timely subject, which needs reflection, and first impressions, and that is exactly what Kore offers us here. A must-read for anyone working in UX and concerned about the future of the field.
September 6, 2022
Who is this book for?
Designers who start their journey and have zero or little knowledge about AI.
Some of the topics covered
- When Does It Make Sense to Use AI when doesn't
- When to Augment and how to measure
- Defined AI and described its foundations and the need for human-centered design when building AI products.
- Concept of agents and environments, input-output mappings, and machine learning.
- Incorporating Artificial Intelligence
- Recent studies and reports (ex. McKinsey, Deloitte etc.)
Pros
"What will be covered in this chapter" in the beginning of each chapter.
Summary.
A lot of images.
Up-tp-daye examples.
Clear structure.
Do I recommend this book? Yes, of course!
Designers who start their journey and have zero or little knowledge about AI.
Some of the topics covered
- When Does It Make Sense to Use AI when doesn't
- When to Augment and how to measure
- Defined AI and described its foundations and the need for human-centered design when building AI products.
- Concept of agents and environments, input-output mappings, and machine learning.
- Incorporating Artificial Intelligence
- Recent studies and reports (ex. McKinsey, Deloitte etc.)
Pros
"What will be covered in this chapter" in the beginning of each chapter.
Summary.
A lot of images.
Up-tp-daye examples.
Clear structure.
Do I recommend this book? Yes, of course!
November 9, 2022
Akshay Kore has channelised his years of experience designing AI products to create a well-structured and detailed book. The book covers the core facets of designing user-friendly AI with a helpful add-on about working in teams to deliver the same. The book keeps a healthy balance of using evidence from other authors and personal theories that are easy to apply in your work. As a result, the book has character and is easier to read than many other academic books. The chapter on prototyping and testing AI-powered interfaces has left me wishing for a sequel which explores it in depth!
Displaying 1 - 3 of 3 reviews