AI UX design principles - 10 key principles by QUBSTUDIO
Machine Learning is Very Much a UX Problem
Machine Learning and User Experience: A Few Resources - MLUX
Anticipatory Interfaces – UX Collective
UX for AI: Trust as a Design Challenge – SAP Design – Medium
UX Design Guide for Data Scientists and AI Products
Simulating Intelligence: Techniques for prototyping machine learning systems across products and features
The Design of AI-Based Products: 13 Things to Consider
When User Experience Designers Partner with Data Scientists by Fabien Girardin and Neal Lathia
Using Artificial Intelligence to Augment Human Intelligence
Ethically Aligned Design - Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems
Designing the User Experience of Machine Learning Systems
AI Ethics Resources · fast.ai
AI Design & Practices Guidelines - Design at IBM
AI Cheatsheet - Comuzi
A UX Lens on AI Model Accuracy and Precision - Design at IBM
The Building Blocks of Interpretability
Profiling Artificial Intelligence as a Material for User Experience Design by Qian Yang (2020)
The Mindful AI Manifesto
By Nathalie Heynderickx and Leonard Hoon, PhD | A call to action to start conversations on AI governance, this manifesto highlights three questions for starting this dialogue.
This Researcher Says AI Is Neither Artificial nor Intelligent
Kate Crawford, who holds positions at USC and Microsoft, says in a new book that even experts working on the technology misunderstand AI.
A Conversation on Artificial Intelligence With Designer Joël Van Bodegraven
AI outputs are fascinating, but lack empathy, creativity, and context. Because of this designers have the responsibility to design ethical…
A (more) visual guide to the proposed EU Artificial Intelligence Act
On April 21, 2021, the European Commission published its Proposal for a Regulation on Artificial Intelligence. The European Commission’s…
Why humans are complicated in a way AI may never understand
From Reaktor's Everyday AI Insight | How can AI become better at helping us discover what we want at any given time when our moods and expectations of an answer change all the time?
Explainable Artificial Intelligence: a Collection of Critical Essays
By ai-explanations (an ad-hoc feminist collective of digital rights researchers, design thinkers, artists, journalists and social media specialists) | "HOW is AI and digital technology shaping our realities, rights, justice, equality ? What are the harms? How can we counter these harms as individuals, communities, governments? What are we hopeful for and how can we fix or overthrow these systems together?"
Debunking AI Myths
From Daniel Leufer and AI Myths team (Mozilla Fellowshop Project) | With every genuine advance in the field of ‘artificial intelligence,’ we see a parallel increase in hype, myths, misconceptions and inaccuracies. These misunderstandings contribute to the opacity of AI systems, rendering them magical, inscrutable and inaccessible in the eyes of the public.
AI Index 2021
By Stanford HAI | The AI Index Report tracks, collates, distills, and visualizes data relating to artificial intelligence to develop a deeper understanding of the complex field.
The Rules of Brainstorming Change When Artificial Intelligence Gets Involved. Here’s How.
By Ben Syverson, IDEO | What happens when you invite GPT-3 to a virtual brainstorm session? A designer/developer at IDEO ran an experiment and wrote about it here!
Culture meets Artificial Intelligence
by Kursat Ozenc via Ritual Design Lab | 6 Reflections on Stanford’s Culturally Relevant AI Summit
When are we going to start designing AI with purpose?
by Josh Lovejoy | Jan, 2021 | UX Collective
Humans & Machines & Agency
By fph | What if human data is de-humanized? What if technology restricts human agency? This speculative design work and reflection explores the digital culture that might emerge, while serving as a reminder of the necessity for human-machine collaboration.