Machines of Loving Grace by John Markoff : Book Review

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I came across this book at Kinokuniya and decided to purchase the audio book. What caught my eye and interest was the subtitle “The Quest for Common Ground Between Humans and Robots”. As an economist and a researcher, I am very interested to know more about the future state of the economy and society as we build better artificial intelligence. This is a theme I previously touched on in my earlier book reviews The AI Economy & Data for the People.

The book was written with only two keywords in mind – Artificial Intelligence and Intelligence Augmented. The first keyword refers to the creation of intelligence similar to that of humans which is capable of taking over tasks done by them, while the second describes the enhancement of human capabilities, like what computers and smartphones do.

John Markoff, who is a reporter at New York Times and currently writes for its science section, did a lot of research for this book. In it, he covers many areas of artificial intelligence research like symbolic AI vs connectionism, robotics, driverless cars etc. He also provides a rich history of the people, past and present, active in these different areas – who are the prominent key researchers and leading thought leaders – turning the whole book into a who’s who.

As a researcher in artificial intelligence, it is always good to revisit the history, to understand the thought processes of these leaders and from there extrapolate out to where we are going next and perhaps bring to our attention what some of the current weaknesses we face in the research and engineering front of artificial intelligence are. It is a great book for anyone in this field who would like a list of the thought leaders in the different areas of artificial intelligence and wishes to learn more about whether we are going down the path of artificial intelligence or intelligence augmented.

Conclusion

The audio book opened my horizon wider to how the previous researchers and thought leaders see where artificial intelligence research should be and definitely gave me more material to research on. My rating is 4.5 out of 5 stars for it.

Author

  • Koo is an experienced Data Scientist & Instructor with an MBA degree with more than 15 years relevant experience. He is a strong and passionate advocate of Data Science & Artificial Intelligence, hoping more people, both business and talents, get on the bandwagon to derive tremendous value from DS/AI. He co-founded DataScience.Sg, one of the largest and most active Data Science community in Singapore. Koo is also experienced educator, conducting Data Science training in many institutions such as NUS SCALE and SMU Academy. https://www.linkedin.com/in/koopingshung/

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