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合成生物智能的技术、机遇与挑战。

The technology, opportunities, and challenges of Synthetic Biological Intelligence.

机构信息

Cortical Labs, Melbourne, VIC, Australia.

Murdoch Children's Research Institute, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia.

出版信息

Biotechnol Adv. 2023 Nov;68:108233. doi: 10.1016/j.biotechadv.2023.108233. Epub 2023 Aug 7.

Abstract

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.

摘要

通过合成生物学方法培养的神经培养物与数字计算相结合,使合成生物智能(SBI)的早期发展成为可能。最近,一些关键研究强调了生物神经系统在某些信息处理任务中的优势。然而,这种早期发展背后的技术,以及潜在的伦理机会或挑战,尚未得到详细探讨。在这里,我们回顾了促进 SBI 发展的关键方面,并探讨了潜在的应用。考虑到这些可预见的用例,提出了各种伦理影响。最终,这项工作旨在提供一个强大的框架来构建伦理考虑因素,以确保 SBI 技术能够得到负责任的研究和应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/256f/10804936/ac4bfda9d037/gr1.jpg

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