Description

Book Synopsis
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 indivi

Table of Contents
Part 1: Intelligence.- Chapter 1: On intelligence.- Chapter 2: Intelligent Agents.- Chapter 3: Incorporating Artificial Intelligence.- Part 2: Decisions.- Chapter 4: Building Trust.- Chapter 5: Designing Feedback.- Chapter 6: Handling Errors.- Part 3: Design.- Chapter 7: IE Ethics.- Chapter 8: Prototyping AI Products.- Part 4: Teamwork .- Chapter 9: Understanding AI Terminology.- Chapter 10: Working Effectively with AI Tech Teams.- Epilogue.

Designing HumanCentric AI Experiences

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Order before 4pm today for delivery by Wed 14 Jan 2026.

A Paperback / softback by Akshay Kore

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    View other formats and editions of Designing HumanCentric AI Experiences by Akshay Kore

    Publisher: APress
    Publication Date: 13/08/2022
    ISBN13: 9781484280874, 978-1484280874
    ISBN10: 1484280873

    Description

    Book Synopsis
    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 indivi

    Table of Contents
    Part 1: Intelligence.- Chapter 1: On intelligence.- Chapter 2: Intelligent Agents.- Chapter 3: Incorporating Artificial Intelligence.- Part 2: Decisions.- Chapter 4: Building Trust.- Chapter 5: Designing Feedback.- Chapter 6: Handling Errors.- Part 3: Design.- Chapter 7: IE Ethics.- Chapter 8: Prototyping AI Products.- Part 4: Teamwork .- Chapter 9: Understanding AI Terminology.- Chapter 10: Working Effectively with AI Tech Teams.- Epilogue.

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