The technology, opportunities, and challenges of Synthetic Biological Intelligence

被引：13

作者：

Kagan, Brett J. ^{[1
]}

Gyngell, Christopher ^{[2
,3
]}

Lysaght, Tamra ^{[4
]}

Cole, Victor M. ^{[4
]}

Sawai, Tsutomu ^{[5
,6
]}

Savulescu, Julian ^{[2
,3
,4
]}

机构：

[1] Cort Labs, Melbourne, Vic, Australia

[2] Murdoch Childrens Res Inst, Melbourne, Vic, Australia

[3] Univ Melbourne, Melbourne, Vic, Australia

[4] Natl Univ Singapore, Ctr Biomed Eth, Yong Loo Lin Sch Med, Singapore, Singapore

[5] Hiroshima Univ, Grad Sch Humanities & Social Sci, Hiroshima, Japan

[6] Kyoto Univ, Inst Adv Study Human Biol ASHBi, Kyoto, Japan

来源：

BIOTECHNOLOGY ADVANCES | 2023年 / 68卷

基金：

英国医学研究理事会;

关键词：

Biocomputing; Neuroscience; Synthetic biology; Intelligence; Ethics; PLURIPOTENT STEM-CELLS; CMOS MICROELECTRODE ARRAY; HUMAN BRAIN ORGANOIDS; CEREBRAL ORGANOIDS; STIMULATION; CULTURES; NEURONS; SYSTEM; MODELS; DIFFERENTIATION;

D O I：

10.1016/j.biotechadv.2023.108233

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

引用

页数：9

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