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

共 50 条

[1] Synthetic biology and (embodied) artificial intelligence: opportunities and challenges
Stano, Pasquale
Kuruma, Yutetsu
Damiano, Luisa
ADAPTIVE BEHAVIOR, 2018, 26 (01) : 41 - 44
[2] Opportunities and challenges for the virtual prototyping of synthetic biological functions
Madec, Morgan
Pecheux, Francois
Jezequel, Fabienne
Gendrault, Yves
Lallement, Christophe
Haiech, Jacques
2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2014, : 2013 - 2016
[3] Special Issue on Artificial Intelligence and Technology: Trend, Challenges, and Opportunities
Liu, Yanxiao
MOBILE NETWORKS & APPLICATIONS, 2022, 27 (03): : 926 - 927
[4] Artificial intelligence and assistive technology: risks, rewards, challenges, and opportunities
Smith, Emma M.
Graham, David
Morgan, Cathal
MacLachlan, Malcolm
ASSISTIVE TECHNOLOGY, 2023, 35 (05) : 375 - 377
[5] Special Issue on Artificial Intelligence and Technology: Trend, Challenges, and Opportunities
Yanxiao Liu
Mobile Networks and Applications, 2022, 27 : 926 - 927
[6] Application of artificial intelligence in technology management: status quo, challenges and opportunities
Kim, Sunhye
Song, Youngchul
Go, Minseok
Kim, Seha
Kim, Minji
Yoon, Byungun
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2024,
[7] COLLABORATIVE INTELLIGENCE: CHALLENGES AND OPPORTUNITIES
Bajic, Ivan, V
Lin, Weisi
Tian, Yonghong
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 8493 - 8497
[8] Edge Intelligence: Challenges and Opportunities
Hu, Haizhou
Jiang, Congfeng
PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS), 2020, : 18 - 22
[9] Intelligence of Things: Opportunities & Challenges
Atlam, Hany F.
Walters, Robert J.
Wills, Gary B.
2018 3RD CLOUDIFICATION OF THE INTERNET OF THINGS (CIOT), 2018,
[10] Technology Challenges and Opportunities
Davison, Brian H.
Lievense, Jefferson C.
CHEMICAL ENGINEERING PROGRESS, 2016, 112 (06) : 35 - 42

← 1 2 3 4 5 →