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.

Lukasz Lysakowski digs through a history of design automation from book printing to modern days.

Jon Bruner gives a good example: A genetic algorithm starts with a fundamental description of the desired outcome — say, an airline’s timetable that is optimized for fuel savings and passenger convenience.

A great visual overview of machine learning basics by Stephanie Yee and Tony Chu.

A good article series by Rob Girling from Artefact. He looks at skills that can be automated and tries to predict the future of design as s profession.

McKinsey analyzed 800 jobs to find how easily they can be automated. Lots of interesting insights. Here's a website to check your job. It started to happen with creative jobs in 2023 (see examples: IBM, Axel Springer, Bluefocus Intelligent Communications Group Co.).

Travis Gertz shows that many websites already look the same. It happened before algorithms even for professional design agencies. The article is incredibly insightful if you want to understand the reasons of this homogenisation.