Psychology of Artificial Intelligence

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A01=Tony Prescott
AI
artificial general intelligence
Artificial Intelligence
Author_Tony Prescott
Category=JMA
Category=JMR
Category=QDTM
Category=UYQ
Classical AI
cognitive science models
Computer Science
Computers
Consciousness
debunking psychological myths
Embodied AI
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethical implications of AI in society
Human Condition
human-computer interaction
Machine Counterparts
Machine Learning
neural network learning
New Technology
Philosophy of Mind
subconscious bias in algorithms

Product details

  • ISBN 9780367543105
  • Weight: 360g
  • Dimensions: 129 x 198mm
  • Publication Date: 02 Jul 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Tony Prescott is Professor of Cognitive Robotics at the University of Sheffield, UK. He holds a PhD in Machine Learning and is a Fellow of the British Psychological Society. He is the lead editor of Living Machines: A Handbook of Research in Biomimetics and Biohybrid Systems (OUP, 2018) and Scholarpedia of Touch (Springer, 2017). He has authored over two hundred articles and conference papers in the areas of psychology, computational neuroscience, robotics, and machine learning.

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