AIxDESIGN Bookmark Library

AI is not only for engineers. “AI for Everyone”, a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change.

Vacancy Id: 6949. Title: Lecturer in Creative Computing (BSc CC). College/Service: Academic Development and Services. Salary: £38,694 to £46,423 per annum. Closing Date: 20/06/2021, 23:55

This program is designed for professionals to devise AI-based solutions, and drive successful implementation of AI and ML technologies in organizations.

TRK "technically responsible knowledge" is a platform for data labelling and AI/ML training. Unlike other services, crowd-sourced workers and workers can set fair prices on this platform towards a living wage. TRK is open source, and offered under the MIT license.

From Futurice | An award-nominated toolkit and associated workshops to support and enhance human capabilities and de-mystify the complex world of AI

What visual similarities can a computer vision algorithm find to connect a sculpture with a drawing?

Learn IBM’s AI Essentials Framework from experts, see an example in practice, and gather the resources you need to get started on your own project today.

Join Gabe Clapper, Staff Designer at Google’s People + AI Research team to review the new edition of the People + AI Guidebook - a set of methods, best practices,...

Merantix AG | Berlin

People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI.

Building better products with on-device data and privacy by default. An online comic from Google AI.

Machine Learning Comic

My AI Readiness Canvas and Workshop was inspired by the many conversations I’ve had with CEOs who are excited about the potential of AI. Sometimes, I leave these moments feeling like I’ve just…

Master the essential skills to land a job as a machine learning scientist! You'll augment your Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning. You'll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. In the process, you'll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.

Design better Machine Learning systems. Keep teams of scientists, engineers and managers focused on the same objectives.

When you want to use an AI-based solution for your service, but don't know what to expect

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.

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.