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).

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

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

Microsoft inclusive design team defined five biases for AI: dataset, association, automation, interaction, and confirmation.

Ed Hess says that the new smart will be determined not by what or how you know but by the quality of your thinking, listening, relating, collaborating, and learning.

Drew Thomas tries to find a niche for design agencies in the world of cheap websites built by advanced online builders.