- The new book argues that natural intelligence and artificial intelligence have interesting similarities and differences and that by comparing them we can advance to the study of both
- Current AI models have a narrow knowledge of specific domains, however, building AIs that are more brain-like, and putting them in robots, will enable AI to have a better understanding of the world
Professor Tony Prescott, Professor of Cognitive Robotics, expert in neuroscience and AI and member of the Centre for Machine Intelligence, held a talk on the themes of his recently launched book ‘The Psychology of Artificial Intelligence’ followed by a Q&A session.
In the new book, Professor Tony Prescott, Professor of Cognitive Robotics, argues that for AIs to match or exceed human intelligence they need to have an architecture that is similar to the human brain - an approach known as robotic intelligence - in which several AIs all specialising in different abilities are all linked as part of one larger intelligence system.
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.
Today’s AI systems use neural networks that increasingly resemble those in our biological brains. This means that AI can help us better understand our own human intelligence as well as creating useful technologies. However, there are ethical risks with developing advanced AI that need to be addressed as the field goes forward.
Professor Tony Prescott
Professor of Cognitive Robotics at the School of Computer Science
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