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
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
收藏
页数:9
相关论文
共 50 条
  • [21] Computational Intelligence and Games:Challenges and Opportunities
    Simon M.Lucas
    International Journal of Automation & Computing, 2008, (01) : 45 - 57
  • [22] Challenges and opportunities for artificial intelligence in surgery
    Andreatta, Pamela
    Smith, Christopher S.
    Graybill, John Christopher
    Bowyer, Mark
    Elster, Eric
    JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, 2022, 19 (02): : 219 - 227
  • [23] Artificial intelligence for education: challenges and opportunities
    Bolano-Garcia, Matilde
    PRAXIS-COLOMBIA, 2024, 20 (01): : 8 - 12
  • [24] Challenges and Opportunities in Cytopathology Artificial Intelligence
    Vandehaar, Meredith A.
    Al-Asi, Hussien
    Doganay, Fatih
    Yilmaz, Ibrahim
    Alazab, Heba
    Xiao, Yao
    Balan, Jagadheshwar
    Dangott, Bryan J.
    Nassar, Aziza
    Reynolds, Jordan P.
    Akkus, Zeynettin
    BIOENGINEERING-BASEL, 2025, 12 (02):
  • [25] Opportunities and Challenges for Artificial Intelligence in India
    Kalyanakrishnan, Shivaram
    Panicker, Rahul Alex
    Natarajan, Sarayu
    Rao, Shreya
    PROCEEDINGS OF THE 2018 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (AIES'18), 2018, : 164 - 170
  • [26] Artificial Intelligence in Addiction: Challenges and Opportunities
    Suva, Mohit
    Bhatia, Gayatri
    INDIAN JOURNAL OF PSYCHOLOGICAL MEDICINE, 2024,
  • [27] ARTIFICIAL INTELLIGENCE IN MANAGEMNET: CHALLENGES AND OPPORTUNITIES
    Chernov, Alexey
    Chernova, Victoria
    ECONOMIC AND SOCIAL DEVELOPMENT (ESD 2019), 2019, : 133 - 140
  • [28] Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities
    Sabry, Farida
    Labda, Wadha
    Erbad, Aiman
    Malluhi, Qutaibah
    IEEE ACCESS, 2020, 8 : 175840 - 175858
  • [29] Artificial Intelligence-Assisted Laser Science and Technology: Status, Opportunities, and Challenges br
    Wu, Hanshuo
    Jiang, Min
    Zhou, Pu
    CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2023, 50 (11):
  • [30] PROTAC Technology: Opportunities and Challenges
    Gao, Hongying
    Sun, Xiuyun
    Rao, Yu
    ACS MEDICINAL CHEMISTRY LETTERS, 2020, 11 (03): : 237 - 240