ISBN13: | 9780367543105 |
ISBN10: | 0367543109 |
Binding: | Hardback |
No. of pages: | 134 pages |
Size: | 198x129 mm |
Weight: | 408 g |
Language: | English |
Illustrations: | 14 Illustrations, black & white; 3 Halftones, black & white; 11 Line drawings, black & white |
777 |
Electrical engineering and telecommunications, precision engineering
Theory of computing, computing in general
Artificial Intelligence
Logic
Further readings in philosophy
Psychology theory
Electrical engineering and telecommunications, precision engineering (charity campaign)
Theory of computing, computing in general (charity campaign)
Artificial Intelligence (charity campaign)
Logic (charity campaign)
Further readings in philosophy (charity campaign)
Psychology theory (charity campaign)
The Psychology of Artificial Intelligence
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The Psychology of AI explores all aspects of the psychology?AI relationship, asking how closely AI can resemble humans, and whether this means they could have some form of self-awareness.
What is Artificial Intelligence? How will AI impact society? Is AI more powerful than human intelligence?
The Psychology of AI explores all aspects of the psychology?AI relationship, asking how closely AI can resemble humans, and whether this means they could have some form of self-awareness. It considers how AI systems have been modelled on human intelligence and the similarities between brains and computers, along with the current limitations of AI and how these could be overcome in the future. It also looks at how people interact with AI in their everyday lives, exploring some of the ethical and societal risks, such as bias in AI algorithms, and the consequences for our long-term future if AIs do surpass humans in important ways.
As AI continues to break new milestones, The Psychology of AI answers key questions about what it really means to be human, and how AI will impact our lives in every way, now and into the future.
1. Introduction 2. What is intelligence? 3. Brains and computers 4. The building blocks of intelligence 5. Learning in Neural networks 6. Towards artificial general intelligence 7. Living with artificial intelligence