AIxDESIGN Bookmark Library

Making neural nets uncool again

Learn to develop AI products that deliver business value. Build skills that help you compete in the new AI-powered world. Learn online, with Udacity.

Discover the awesome power of creative AI, and learn what machine learning is and how it works with this online course from UAL Creative Computing Institute.

How do we design AI systems that augment and empower people? This course connects human-computer interaction (HCI), the multidisciplinary field that focuses on designing interactions between humans and technology, to the transformative effects of AI so that you can better serve your customers and drive your company forward. You’ll learn to make informed decisions on how and when our company should be designing smart and AI-based products to change how you work, learn and communicate.

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

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

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

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.

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

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

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Each week for nine weeks, Catherine and Lauren will present some highlights from a single chapter of Data Feminism.

Data + Feminism Lab uses data and computational methods to work towards gender and racial equity, particularly as they relate to space and place.

BrowZen correlates your emotional states with the web sites you visit to give you actionable insights about how you spend your time browsing the web.

Woolaroo provides a new way to explore indigenous languages. Using machine learning, it recognises objects from your camera and translates them.

The Nooscope Manifested: AI as Instrument of Knowledge Extractivism. By Matteo Pasquinelli and Vladan Joler (2020)

Thryn Shapira discusses balancing user control and automation in AI-powered reminiscing features.

Human intelligence emerges from our combination of senses and language abilities. Maybe the same is true for artificial intelligence.

Recommendation systems have changed how we choose what we want. But are they choosing what we want? | Subscribe to our weekly newsletter here.

@ Leicester / online | May 2021 – March 2022

Renée Cummings traces her unconventional path to data activism, opens our minds to the power of imagination and authenticity, and makes a cogent case for why being uncomfortable is key to creating a positive AI legacy.