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?

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.

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.

IBM designers created a practical guide for designers & developers for building and using AI systems.

The AI looks for three types of manipulation: cloning, splicing and removal. See also their new research and a checklist by Kyle McDonald.

Christopher Noessel analyzed sci-fi movies to understand how they portray AI. He published a comparison table.

David Dao made a curated list to track current scary usages of AI — hoping to raise awareness to its misuses in society.

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.

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).

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