AI UX: 7 Principles of Designing Good AI Products

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 Real Story Behind Microsoft’s Quietly Brilliant AI Design

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).

How to recognize exclusion in AI

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

In the AI Age, “Being Smart” Will Mean Something Completely Different

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.

The State Of Advanced Website Builders

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

Automation of Design: History

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

AI and the future of design: Will machines take your job?

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.

Where machines could replace humans — and where they can’t (yet)

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.).

Design Machines

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.

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