People + AI Research
Get practical insights from Google’s People + AI Research (PAIR) team on how to take a multidisciplinary and human-centered approach to designing with machine learning and AI. Inside, find articles and video on how ML is changing the way we build experiences and interact with the world.
Simulating Intelligence
Techniques for prototyping machine learning systems across products and features
Participatory Machine Learning
A conversation about bringing more people and perspectives into the machine learning design process
AI and Design: Putting People First
A discussion on how designers can harness and humanize AI’s vast potential
People + AI Guidebook
Tactical guidance and best practices for designing human-centered AI products
PAIR on Medium
Find non-technical articles exploring ML’s impact on our lives, work, ethics, and the world
Six AI Terms UXers Should Know
Clear and simple definitions of essential concepts
Control and Simplicity in the Age of AI
How Google Clips found the right balance between familiarity and functionality
ML and the Evolution of Web-Based Experiences: Fast, Real-Time, and Fully Interactive
Lessons from designing “Emoji Scavenger Hunt”
AI Is Design’s Latest Material
MoMA’s Senior Design Curator explores how artificial intelligence helps designers reach visual and functional...
First: Raters
Designing for AI’s unseen users can lead to better products in the long run
Designing (and Learning From) a Teachable Machine
UX insights on designing simple, accessible interfaces for teaching computers
Predictably Smart
Machine learning works best when users don’t have to think twice
Method Podcast, Episode 9
UX designer Josh Lovejoy talks about designing Google Clips, and the future of AI-powered products
Fair Is Not the Default
Why building inclusive tech takes more than good intentions
The UX of AI
Using Google Clips to understand how a human-centered design process elevates artificial intelligence
Video: Design Is [Smart]
Jess Holbrook and Josh Lovejoy demystify and explain human-centered machine learning
Video: Fair Is Not the Default
In this TEDx talk, UX lead Josh Lovejoy presents a case for including fairness as a core component of the machine...
Expression’s AI-Powered Selfies
How neural networks and artists are working together to create recognizable illustrations
Drawing Inclusive Design Insights
What the world’s largest doodling dataset can teach us about creating useful and accessible AI-powered
Video: Understanding Machine Learning and Human Bias
A primer on how to make technology that works for everyone
An Introduction to Human-Centered Machine Learning
7 steps to help you put people first when designing ML-driven products
Google AI
Find more projects from People + AI Research (PAIR) and discover how the team uses design and experimentation to...