Introduction
User Needs + Defining Success
Data Collection + Evaluation
Mental Models
Explainability + Trust
Feedback + Control
Errors + Graceful Failure
Resources
Glossary
About
menu
#pairguidebook
Designing human-centered AI products
User Needs + Defining Success
Identify user needs, find AI opportunities, and design your reward function.
Data Collection + Evaluation
Decide what data are required to meet your user needs, source data, and tune your AI.
Mental Models
Introduce users to the AI system and set expectations for system-change over time.
Explainability + Trust
Explain the AI system and determine if, when, and how to show model confidence.
Feedback + Control
Design feedback and control mechanisms to improve your AI and the user experience.
Errors + Graceful Failure
Identify and diagnose AI and context errors and communicate the way forward.
Google serves cookies to analyse traffic to this site. Information about your use of our site is shared with Google for that purpose.
See details
OK, got it
