AIxDESIGN Bookmark Library

ml4a is a collection of tools and educational resources which apply techniques from machine learning to arts and creativity.

Discover how AI is transforming the creative industries with this online creative computing course from UAL offering practical examples and skills guides.

The starting point for information about the AI Incident Database

As Chief Decision Scientist at Google Cloud, Cassie Kozyrkov guides teams in data-driven decision process and AI strategy. She is the innovator behind bringing the practice of Decision Intelligence to Google, personally training over 15,000 Googlers. In this video, Cassie provide tips for staying in the “AI safety mindset”. Kozyrkov cautions, “the objective is always subjective”: exactly what you want the AI to learn will depend on exactly what you’re using it for.

A collection of talks from members of the IxDA community on design and artificial intelligence, curated from editions of our Interaction conference.

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.

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.

Kate Crawford, who holds positions at USC and Microsoft, says in a new book that even experts working on the technology misunderstand AI.

On April 21, 2021, the European Commission published its Proposal for a Regulation on Artificial Intelligence. The European Commission’s…

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?

by Josh Lovejoy | Jan, 2021 | UX Collective

Be user centric, stay focused, maintain a healthy give-and-take relationship. Get data.

By Elaine Lee | You may not know it, but as a product designer, you most likely have been designing for products that use some form of artificial intelligence.

From AIartists.org | Check out these tools for generating AI art!

The mimic project offers a way to make new kinds of music, sound and creative arts experiences using machine learning, machine listening and artificial intelligence.

Khroma is the fastest way to discover, search, and save color combos and palettes you'll love.

The tools below represent concrete ways of implementing ethical reflection, deliberation, and judgment into tech industry engineering and design workflows.

A tool to help guide an ethically responsible, culturally considerate, and humanistic approach to designing with data

By Google Arts & Culture | Interactively discover this fascinating language by means of three dedicated gateways: First, you can “Learn” about the language of ancient Egypt by following a short educational introduction in six easy steps. Secondly, Fabricius invites you to “Play” and translate your own words and messages into hieroglyphics ready to be shared with your friends and family.

PoseNet experiments made in collaboration with one of America’s most celebrated and important artists.

The Hip Hop Poetry Bot is an AI experiment, trained on music by black artists to offer meaningful poems for your day.

Democratising tomorrow's AI

Detect braids, afros, cornrows and more with machine learning and black girl magic.

This is a weekly experiment to see if an artificial intelligence program can produce real humor.

Data & Society Research Institute | New York, NY, Remote

Machine learning and AI solutions for a better tomorrow.

Op-ed: Many methods have been developed to promote fairness, transparency and accountability in the predictions made by artificial intelligence and machine learning systems. A technical approach is often the focal point of these methodologies, however, to develop truly ethical machine learning systems that can be trusted by their users, it's important to supplement this with a human-centred approach.

Free, online course from fast.ai and USF Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond. - EthicalML/awesome-artificial-intelligence-guidelines