Member-only story
UX for Human-Centered AI: How to do it right.
In part 4 of the Human-Centered AI methodology series, we uncover how to explain UX of AI to users.
AI is hard to design for.
New product challenges.
New ethical concerns.
AI systems are continuously learning. Never 100% accurate, making their outputs complex and dynamic.
How do we design for infinitely evolving scenarios?
If AI is never 100% accurate, how do we communicate AI to users to get them to trust and understand the system?
UX for AI needs a different approach.
Let’s unpack how.
—
In Part 4 of the “How to build a Human-Centered AI Product article series”, I’ll dive into the 4th step of the new Human-Centered AI methodology.
New here?
The Human-Centered AI methodology is a framework I have spent 2+ years of research on, developed in a prior research collaboration with AI Singapore.
It’s the new Product Design Thinking for AI.
Read why we need a new product design approach for AI here.
In 5 steps:
1. Define
Define and identify business opportunities, user painpoints, and areas where AI can add value
