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 features
Ability to spot opportunities for applying AI in their organizations
Advantages and limitations of AI when building software products
Ability to collaborate and communicate effectively with AI/ML tech teams - UX design for different modalities (voice, speech, text, etc.)
Designing ethical AI system
About the Author
Akshay Kore is a 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.