A necrologue for generative design by Daniel Davis. While it’s trivial to show that generative design is possible, it’s much harder to take the next step and show that generative design is useful.

AI is like photography in the 19th century–struggling to be accepted as its own art form. Aaron Hertzmann discusses tricky situations in art world.

People+AI research initiative. How might we make it easier for engineers to build and understand machine learning systems? How can AI aid and augment professionals in their jobs? Can design thinking open up new applications for AI?

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.

The company studied personal assistants — human ones — to understand how to make a great machine assistant for PowerPoint Designer feature (it makes good slide design for users).

Dávid Pásztor aims to create useful, easy-to-understand products in order to bring clarity to this shady new world of machine learning. Most importantly, we want to use the power of AI to make people’s lives easier and more joyful.