Resources for Understanding AI

By Tech Research Asia

Artificial Intelligence is a complex and evolving field that can take some time to fully grasp. It is far more nuanced than popular media would have it, and filled with great opportunity and risk. The following are just some of the resources we think are worth reading to give you a grasp of what's happening.

The BBC Ultimate Guide to AI: Although published in 2015, which means a lot has happened in the world of AI since, this is a good overview for those unfamiliar with the field.

Forbes: The Complete Beginners Guide to AI : It's not really "complete" but it is a good starting point for getting to terms with AI research streams.

Clerverism: Artificial Intelligence - A complete guide : Another introductory guide to AI with a little more depth.

DARPA on AI in the Video Below first published at the start of 2017

Guide to working in AI policy and strategy:An in-depth online University of Oxford’s Future of Humanity Institute and 80,000 Hours Team publication that includes many references.

Machine Learning for Humans: A website offering plain English explanations and examples of AI in use.

The Deep Learning Course : A MOOC by Andrew NG, one of the foremost researchers on AI (previously from Stanford and leading Baidu's AI innovation lab). A range of online courses for deep learning AI.

Risks of Artificial Intelligence by Johannes Heidecke: A look at the issues AI presents and how quickly it is developing.

The Future of Life Institute: Good reference and resource for understanding some of the ethical implications of AI. Introduces the Asilomar AI Principles.

Open AI: The organisation launched by noted business leaders and researchers to bring AI to everyone to help avoid the risks.

The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems: In depth guidelines for the ethical development of AI.

The Machine Intelligence Research Institute: Provides a wealth of information on ensuring AI systems are designed ethically.

Preparing for the future of artificial intelligence: A report from the National Science and Technology Council (NSTC) in the US published in October 2016.

AI, Robotics, and the Future of Jobs : A little dated now as it was published in 2014, but some good insights on how a variety of people perceive AI from Pew Research Centre.

Of course, there are many other resources out there whether this be for programmers wanting to learn how to apply AI, researchers trying to advance the field, executives looking for providers and a business case, or policy makers. The above is just a start. Get reading.