Dan Mall confirms the common logic of an algorithm-driven design process and shows how modern tools help here.

Why too many logos of algorithm-driven tools are based on the swirling hexagon. The same thing happens to sparkle icons.

Jakob Nielsen believes AI is introducing the third user-interface paradigm in computing history, shifting to a new interaction mechanism where users tell the computer what they want, not how to do it — thus reversing the locus of control.

AI-powered UX research insight generation tools have many problems: lack of context, extremely vague summaries and recommendations, inability to analyze image & video content, lack of citation and validation.

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

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.

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?

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.

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?