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The technology, opportunities, and challenges of Synthetic Biological Intelligence

Integrating neural cultures developed through synthetic biology methods with digital computing has enabled the early development of Synthetic Biological Intelligence (SBI). Recently, key studies have emphasized the advantages of biological neural systems in some information processing tasks. However...

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Autores principales: Kagan, Brett J., Gyngell, Christopher, Lysaght, Tamra, Cole, Victor M., Sawai, Tsutomu, Savulescu, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615149/
https://www.ncbi.nlm.nih.gov/pubmed/37558186
http://dx.doi.org/10.1016/j.biotechadv.2023.108233
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author Kagan, Brett J.
Gyngell, Christopher
Lysaght, Tamra
Cole, Victor M.
Sawai, Tsutomu
Savulescu, Julian
author_facet Kagan, Brett J.
Gyngell, Christopher
Lysaght, Tamra
Cole, Victor M.
Sawai, Tsutomu
Savulescu, Julian
author_sort Kagan, Brett J.
collection PubMed
description Integrating neural cultures developed through synthetic biology methods with digital computing has enabled the early development of Synthetic Biological Intelligence (SBI). Recently, key studies have emphasized the advantages of biological neural systems in some information processing tasks. However, neither the technology behind this early development, nor the potential ethical opportunities or challenges, have been explored in detail yet. Here, we review the key aspects that facilitate the development of SBI and explore potential applications. Considering these foreseeable use cases, various ethical implications are proposed. Ultimately, this work aims to provide a robust framework to structure ethical considerations to ensure that SBI technology can be both researched and applied responsibly.
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spelling pubmed-76151492023-11-01 The technology, opportunities, and challenges of Synthetic Biological Intelligence Kagan, Brett J. Gyngell, Christopher Lysaght, Tamra Cole, Victor M. Sawai, Tsutomu Savulescu, Julian Biotechnol Adv Article Integrating neural cultures developed through synthetic biology methods with digital computing has enabled the early development of Synthetic Biological Intelligence (SBI). Recently, key studies have emphasized the advantages of biological neural systems in some information processing tasks. However, neither the technology behind this early development, nor the potential ethical opportunities or challenges, have been explored in detail yet. Here, we review the key aspects that facilitate the development of SBI and explore potential applications. Considering these foreseeable use cases, various ethical implications are proposed. Ultimately, this work aims to provide a robust framework to structure ethical considerations to ensure that SBI technology can be both researched and applied responsibly. 2023-11-01 2023-08-07 /pmc/articles/PMC7615149/ /pubmed/37558186 http://dx.doi.org/10.1016/j.biotechadv.2023.108233 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
spellingShingle Article
Kagan, Brett J.
Gyngell, Christopher
Lysaght, Tamra
Cole, Victor M.
Sawai, Tsutomu
Savulescu, Julian
The technology, opportunities, and challenges of Synthetic Biological Intelligence
title The technology, opportunities, and challenges of Synthetic Biological Intelligence
title_full The technology, opportunities, and challenges of Synthetic Biological Intelligence
title_fullStr The technology, opportunities, and challenges of Synthetic Biological Intelligence
title_full_unstemmed The technology, opportunities, and challenges of Synthetic Biological Intelligence
title_short The technology, opportunities, and challenges of Synthetic Biological Intelligence
title_sort technology, opportunities, and challenges of synthetic biological intelligence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615149/
https://www.ncbi.nlm.nih.gov/pubmed/37558186
http://dx.doi.org/10.1016/j.biotechadv.2023.108233
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