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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Illustrationen
14 s/w Abbildungen, 3 s/w Photographien bzw. Rasterbilder, 11 s/w Zeichnungen
11 Line drawings, black and white; 3 Halftones, black and white; 14 Illustrations, black and white
Maße
Höhe: 198 mm
Breite: 129 mm
Dicke: 8 mm
Gewicht
ISBN-13
978-0-367-54311-2 (9780367543112)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
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
