The Alignment Problem: Machine Learning and Human Values

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• 5.0 out of 5 stars from Owain R Evans -- Great read on AI and Machine Learning for fans of “Algorithms to Live By”, Pinker, Dennett : Like the works of Steven Pinker and Daniel Dennett, this book explains cutting-edge ideas in psychology, AI, and philosophy -- ideas that are having a big impact on the world. ( Reviewed in the United States on October 23, 2020 )
• 5.0 out of 5 stars from Klaus Gottlieb -- The sorcerer's apprentices rummaging through Pandora's box : I am a voracious reader, or should I say, listener because nowadays, I first listen to books which may be of interest. More often than not I find that popular business and even science books are large in volume but thin in content. ( Reviewed in the United States on October 16, 2020 )
• 1.0 out of 5 stars from Kindle Customer -- What Computers Can't Do : The activity inside a computer is nothing more than a changing series of high and low voltages (1's and 0's). Computers don't understand anything: a garbage can rolling thru a road intersection is the same as a mother pushing a baby carriage. A computer must be laboriously taught to make the distinction , and the programmer may not omit anything important. The book spends allot of time describing how programmers have tried to accomplish that. ( Reviewed in the United States on November 14, 2020 )
• 5.0 out of 5 stars from steven -- Excellent AI book : I read a lot of books written about AI. It is a topic my friend and I discuss for hours. She actually met Stuart Russell right before the pandemic and he signed his book for her. The Alignment Problem is another great book in the study of AI. The book is easily understood by the laymen like she and I. I did read it slow so I can think about the topics as he presents them. How to program AI to do what we want it to do is going to be a major consideration over the next decade and century. We must align what the machine is asked to do in relation to what we as a society and the programmers desire the machine to do. ( Reviewed in the United States on October 27, 2020 )
• 5.0 out of 5 stars from Michael Langan -- Grateful to have Brian Christian in our corner : I've been a huge fan of Brian Christian's writing since... well, since before "The Most Human Human," but that's where he truly proved himself. Reading Brian's work is like going to a cocktail party that you weren't totally sure you wanted to go to, then finding yourself having spent the last three hours spellbound by the bald man in the corner, reducing incredibly complex ideas to meaningful and entertaining analogies that, by the end of the night, have completely transformed your worldview. Truth be told, I'm a little nervous to dive deeper into the issues lurking in the future of AI at this point. But if there's anyone I trust to enlighten me on high stakes issues without crushing my soul (or my brain), it's Brian Christian. ( Reviewed in the United States on October 26, 2020 )
• 4.0 out of 5 stars from Estragon -- Maschinenlernen und Humanität : Zugegebenermaßen bin ich alles andere als ein Fachmann auf den Gebieten von Künstlicher Intelligenz (KI) und Machine Learning (ML). Doch gerade deshalb war ich dankbar für dieses Buch, das sich dezidiert (auch) an Nicht-Experten wendet und deshalb auch weitestgehend auf Fachterminologien und (mathematisch) formalisierte Darstellungen verzichtet. ( Reviewed in Germany on June 30, 2021 )
• 5.0 out of 5 stars from Georgina -- Good introductory text to the issues : Trying to understand alignment of human values and machine learning ( Reviewed in Australia on April 22, 2021 )

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