Computational Approaches to Conscious Artificial Intelligence

Artificial Intelligence (AI) has seen rapid advancements in recent years, particularly in the areas of deep learning and the ability to generalize from concrete objects to abstract concepts. Meanwhile, in the study of machine consciousness, a universally agreed definition among scientists and philosophers is still lacking.

This book raises a number of issues surrounding the nature and implications of conscious artificial intelligence:

This edited volume consists of 10 chapters that highlight the prospects of machine consciousness and study the subject from several perspectives. The issues are wide-ranging and include topics such as the metaverse, a computational approach to pain and suffering, universal cognitive intelligence, intentional action, the categorization of conscious machines, and more. The volume is designed as a reference guide for researchers, practitioners, and students interested in the intersection of AI and consciousness.

Contents:

• The Conscious Machine (Yan H Ng and Antonio Chellaa)
• The Category of Machines that Become Conscious: An Example of Memory Modelling (Igor Aleksander)
• A Constructive Explanation of Consciousness and its Implementation (Pei Wang)
• On Artificial Intelligence, Consciousness and Robots (Pentti O A Haikonen)
• Universal Cognitive Intelligence, from Cognitive Consciousness, and Lambda () (Selmer Bringsjord, Naveen Sundar Govindarajulu and James Oswald)
• Intelligence and Consciousness in Natural and Artificial Systems (David Gamez)
• Attention and Consciousness in Intentional Action: Steps Toward Rich Artificial Agency (Paul Bello and Will Bridewell)
• Artificial Conscious Intelligence: Why Machine Consciousness Matters to AI (JJames A Reggia, Garrett E Katz and Gregory P Davis)
• Will Conscious Digital Creatures Roam the Metaverse? (Owen Holland)
• On the Ethics of Constructing Conscious AI (Shimon Edelman)

Readership: Researchers, practitioners, students, informed readers interested in the intersection of Artificial Intelligence and Consciousness.
Key Features:

• A gap in the literature: There are books on Consciousness in AI, but they are mostly introductions for a layperson audience. No specific books on the computational approaches to Conscious AI go into the topic in more depth. This book will fill that gap
• The chapter contributors are highly renowned in their fields. They come from the Editorial Board of the Journal of Artificial Intelligence (JAIC), the only journal in the field of Consciousness AI. Chapter contributors also have a good mix of industry and academic experience
• There is a huge recent interest in the topic of conscious AI with the rapid progress of computing power and work done by organizations like OpenAI whose goal is to build artificial general intelligence

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