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Artificial Intelligence: A Guide for Thinking Humans is a 2019 nonfiction book by Santa Fe Institute professor Melanie Mitchell. [1] The book provides an overview of artificial intelligence (AI) technology, and argues that people tend to overestimate the abilities of artificial intelligence.
History of artificial intelligence; Progress in artificial intelligence; Timeline of artificial intelligence; AI effect – as soon as AI successfully solves a problem, the problem is no longer considered by the public to be a part of AI. This phenomenon has occurred in relation to every AI application produced, so far, throughout the history ...
The Chinese strategy game of go, however, has proven much more difficult for computers to play well. He considers go to be a "level 3" problem, the type of problem where there is no single unifying formula which solves it. Then Kurzweil reveals that pattern recognition, which is crucial to artificial intelligence, is also a level 3 problem. [13]
In the same month, business magnate Elon Musk made headlines by agreeing with the book that artificial intelligence is potentially more dangerous than nuclear weapons. [ 8 ] [ 9 ] [ 10 ] Bostrom's work on superintelligence has also influenced Bill Gates ’s concern for the existential risks facing humanity over the coming century.
The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and computer vision.
The business model canvas is a strategic management template used for developing new business models and documenting existing ones. [2] [3] It offers a visual chart with elements describing a firm's or product's value proposition, [4] infrastructure, customers, and finances, [1] assisting businesses to align their activities by illustrating potential trade-offs.
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The book received positive reviews from critics, who singled out its exploration of issues like exploitation of labour and the environment, algorithmic bias, and false claims about AI's ability to recognize human emotion. [1] [2] The book was considered a seminal work by Anais Resseguier of Ethics and AI. [3]
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