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...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2023
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| _version_ | 1797110831247261696 |
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| author | Kagan, BJ Gyngell, C Lysaght, T Cole, VM Sawai, T Savulescu, J |
| author_facet | Kagan, BJ Gyngell, C Lysaght, T Cole, VM Sawai, T Savulescu, J |
| author_sort | Kagan, BJ |
| collection | OXFORD |
| 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. |
| first_indexed | 2024-03-07T08:00:15Z |
| format | Journal article |
| id | oxford-uuid:484720c9-eb91-444e-89b8-934beaf2c46a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T08:00:15Z |
| publishDate | 2023 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:484720c9-eb91-444e-89b8-934beaf2c46a2023-09-29T13:41:18ZThe technology, opportunities, and challenges of Synthetic Biological IntelligenceJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:484720c9-eb91-444e-89b8-934beaf2c46aEnglishSymplectic ElementsElsevier2023Kagan, BJGyngell, CLysaght, TCole, VMSawai, TSavulescu, JIntegrating 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. |
| spellingShingle | Kagan, BJ Gyngell, C Lysaght, T Cole, VM Sawai, T Savulescu, J 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 |
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