Introduction
User Needs + Defining Success
Data Collection + Evaluation
Mental Models
Explainability + Trust
Feedback + Control
Errors + Graceful Failure
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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.