The Creation of a Conscious Machine: The Quest for Artificial Intelligence

Resource type
Book
Author/contributor
Title
The Creation of a Conscious Machine: The Quest for Artificial Intelligence
Abstract
"The Creation of a Conscious Machine" surveys the millennial quest to create an intelligent artefact, concludes consciousness is the key to achieve this goal and proposes we adopt an understanding of synthetic consciousness that is suitable for machine implementation. The text describes how achieving Artificial Intelligence will yield extraordinary intellectual benefits and deep insights into the human condition. It examines past attempts, from ancient times until today, to define intelligence and implement it, drawing useful lessons from each. In particular, the Turing Test, the most influential measure of artificial intelligence, is the subject of an in depth analysis. Ultimately, the author also rejects the Turing Test, and the concept of a test itself, as an unsuitable measure of machine intelligence. Basing himself on this analysis, the author concludes that humans will only consider a machine to be truly intelligent if they also perceive it to be conscious. To realize the quest of Artificial Intelligence, it is necessary to implement consciousness. In turn, to achieve Synthetic Consciousness, we must discard the view that consciousness is a subjective experience in favour of a different understanding, deeply rooted in the Western tradition, that it is an externally observable capability. Using this "new" understanding, the author then proposes a definition of Synthetic Consciousness, expressed as specification objectives, that is suitable for software implementation. This makes it possible to build the first generation of synthetic conscious beings.
Publisher
Glasstree
Date
2017-5-28
ISBN
978-2-9816776-2-4
Short Title
The Creation of a Conscious Machine
Accessed
3/6/25, 3:39 PM
Library Catalog
DOI.org (Crossref)
Citation
Tardy, J. E. (2017). The Creation of a Conscious Machine: The Quest for Artificial Intelligence. Glasstree. https://doi.org/10.20850/9782981677624