These 18 guidelines can help you design AI systems and features that are more human-centered. How to use them in a creative process.

A talk by Josh Clark on using machine-generated content, insight, and interaction as design material in your everyday work.

A pattern gallery for algorithm-driven designs. How to make them transparent and predictable.

How AI designers are bridging the gap between user needs and technological capabilities at Meta.

A framework for designers who work with products based on AI, by Nadia Pret. It contains patterns and methods to design them.

In a study of people interacting with systems built on machine-learning algorithms, users had weak mental models and difficulties making the UI do what they want.

Lassi Liikkanen shows 3 key applications: detection, prediction, and generation.

A fantastic overview of design process for products that use machine learning from Josh Lovejoy and Jess Holbrook. Here's a case study that applies these principles to Google Clips camera.

Class Central analyzed online courses on machine learning and selected the best.

This one-day workshop explores several issues in the domain of generative models for creativity and design. 32 papers were published.