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.

Aaron Hertzmann draws interesting parallels between today's algorithm-driven design tool boom and other branches of arts and culture for past centuries. He thinks current state is just interim and shows on-spot analogies.

Keima Kai looks at a typical website creation process and thinks about how each stage could be improved with algorithm-driven design.

Brilliant thinking by Alexander Wales on how tools like DALL-E and Midjourney influence professional illustrators and artists. It'll kick the economy of these professions in the stomach for sure. However, art as self-expression will stay for sure. Erik Hoel has a similar take.

A fantastic article by Amy Goodchild about the nature of generative art. She digs into three key pillars: randomness, rules, and natural systems.

Hannah Johnston compares principles of popular prompt-based image generators like DALL·E, Midjourney & Google Collab models. How they work and what artists think about it.

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.

A great discussion about the relationship between AI and data visualization (more on it). Will we need a speedometer to visualize how fast a car is going when it’s driving itself?

An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.

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