Yet another sad story shows that futuristic AI-based products are backed by sweat & pain of low-waged human workers.

Artists can search machine learning databases for links to their work and flag them for removal. It's a part of a bigger Spawning initiative — they're building tools for artist ownership of their training data, allowing them to opt into or opt out of the training of large AI models, set permissions on how their style and likeness is used, and offer their own models to the public.

This experiment shows how words like "assertive" and "gentle" are mapped to stereotypes and biases in models like Stable Diffusion and DALL-E 2 (review). Bloomberg has a good long-read article about this problem.

Under current law, only natural persons may be named as an inventor in a patent application.

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.

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.