Joel van Bodegraven initiated a series of e-books on AI-Driven Design in collaboration with Adyen & AWWWARDS. Invited to write one of the chapters, I decided to zoom in on the UI/UX Design Challenges in Machine Learning Products.
Chapter IV: In collaboration with Nadia Piet, design strategist and researcher, presents research on designing Machine Learning Products, discusses the complexities of designing AI/ML interactions, considers how to design positive user/human experiences in algorithmic systems, and looks at the challenges faced regarding Trust & Transparency, User Autonomy & Control and Value Alignment, all supported with real life examples.
Based on my earlier research, I divided the challenges from my research over 3 major themes which became Trust & Transparency, User Autonomy & Control, and Value Alignment. Within each of these are specific UX/UI design challenges, strategies, and real-life examples.
The e-book is available to download here.
A small preview:
Happy holidays! it’s time to celebrate 🎅🌲🎁download our new free ebook “Design Challenges in Machine Learning Products” by @NadiaPiet & @Jvb_nl here: https://t.co/JtdFFvnv5S #awwwardsbook #ebook #MachineLearning pic.twitter.com/9hLdnq3G8C
— awwwards. (@AWWWARDS) December 28, 2019