The past decade has witnessed extraordinary advances in artificial intelligence. But what precisely is it and where does its future lie?
In this brilliant, one-stop guide WIRED journalist Matt Burgess explains everything you need to know about AI. He describes how it works. He looks at the ways in which it has already brought us everything from voice recognition software to self-driving cars, and explores its potential for further revolutionary change in almost every area of our daily lives. He examines the darker side of machine its susceptibility to hacking; its tendency to discriminate against particular groups; and its potential misuse by governments. And he addresses the fundamental can machines become as intelligent as human beings?
Starting off with a well rounded shot of history, this book dives straight into a very practical account of the current applications of AI. It covers how the technology is being used for the benefit of business and society alike, and sometimes not, before addressing the very real issues of governance, regulation, and accountability. The book finishes by framing a pragmatic view on the future of artificial intelligence as being rooted in how we shape the ethical use of the technology in the present.
A short but informative read that succinctly extracts and analyses the themes from a topic that is constantly moving.
An accessible introduction to the topic which reads like a long Wired article. Good for basic knowledge but Hannah Fry’s Hello World gets under the skin of these complex issues more sensitively.
A very good analysis of current situation of AI and machine learning that addresses all aspects - technology, culture changes required, training of machines, challenges faced and expectations around AGI. Must read for anyone remotely interested in AI.
short but informative. it gives a comprehensive view on AI, not only for advertising the power of AI, also for raising concerns and discussion on the issues of AI.
This entire review has been hidden because of spoilers.
A succinct book on unintended consequences happen with flawed data to build AI, when users with unique traits and their data should be considered in the build of AI products.