题名

如何成為「人」:缺陷及其經驗作為對人工智能研究之啟發-以自動駕駛技術為例

并列篇名

"Becoming Human": the idea of fault and its experiences as an inspiration for artificial intelligence - cases from self-driving cars

DOI

10.29843/JCCIS.202001_(38).0006

作者

劉育成(Yu-cheng Liu)

关键词

人類智能 ; 人工智能 ; 技術人類學 ; 去失誤/預設 ; 自動駕駛技術 ; human intelligence ; artificial intelligence ; the anthropology of technology ; de-fault/default ; driverless technology

期刊名称

資訊社會研究

卷期/出版年月

38期(2020 / 01 / 01)

页次

93 - 125

内容语文

繁體中文

中文摘要

本研究以技術人類學家Bernard Stiegler有關人類因Epimetheus的「失誤」而得以「成為人」的論述,對人類智能(human intelligence)與人工智能(artificial intelligence)進行探討。以「失誤」概念為基礎的「缺陷」及對其之經驗,或許是「人之所以為人」的關鍵元素。人類不僅藉由技術的外部化,以彌補其「失誤」,更透過技術來區別自身於其他物種,進而肯定「成為人」的意義。本研究提出,若將Stiegler的雙關「去-失誤/預設」(de-fault/default)視為一組區別,那麼從人類智能到人工智能的發展,即是一個從「de-fault/default」到「default/de-fault」的轉變,該轉變有助於理解人工智能現象的內涵。本研究以自動駕駛技術為例,探討其困境與未來發展。在代結論中,我將提出以「例示/窮盡」(illustration/exhaustion)之區別,作為對人工智能現象的反思。

英文摘要

This paper examines the ideas of fault and de-fault developed by Bernard Stiegler in his discussion of the relationship between human beings and technology. "Becoming human" means how we as human beings encounter and cope with what Stiegler terms "original default". In his discussion, human beings appear in the externalization of this original de-fault, and in doing so human beings can survive with various technologies which are products of this externalization. It becomes the original de-fault for human beings and later "default". How to become humans or how machines can think like humans refers to the transformation from "de-fault/default" to "default/de-fault" in terms of the theory of form. With the perspective from the anthropology of technology, mainly extended from the idea of Bernard Stiegler, and with the examination of the technologies of artificial intelligence applied around self-driving cars, the argument of this paper may contribute to the future thinking of artificial intelligence. In addition, as one of concluding remarks, the author also suggests another distinction of illustration and exhaustion as a possible way to think about artificial intelligence in the future.

主题分类 基礎與應用科學 > 資訊科學
社會科學 > 社會學
社會科學 > 傳播學
参考文献
  1. Bernecker, S.(Ed.),Michaelian, K.(Ed.)(2017).The Routledge Handbook of Philosophy of Memory.London:Routledge.
  2. Bostrom, N.(2014).Superintelligence: Paths, Dangers, Strategies.Oxford, UK:Oxford University Press.
  3. Clark, A.(2013).Re-Inventing Ourselves: The Plasticity of Embodiment, Sensing, and Mind.The Transhumanist Reader,West Sussex, UK:
  4. Clark, A.(2003).Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence.Oxford :Oxford University Press.
  5. Davies, A. (2018). The Wired Guide to Self-Driving Cars. Retrieved from https://www.wired.com/story/guide-self-driving-cars/
  6. Dreyfus, H. L.(1972).What Computer Can't Do.New York:Happer & Row.
  7. Dreyfus, H. L.(2006).Overcoming the myth of the mental.Topoi,25,43-49.
  8. Dreyfus, H. L.(1965).Alchemy and Artificial Intelligence.Santa Monica, CA:RAND Corporation.
  9. Dreyfus, H. L.(2007).Why Heideggerian AI failed and how fixing it would require making it more Heideggerian.Artificial Intelligence,171,1137-1160.
  10. Gardner, H.(2011).Frames of Mind: The Theory of Multiple Intelligences.New York:Basic Books.
  11. Garfinkel, H.(1992).Studies in Ethnomethodology.Cambridge:Polity Press.
  12. Glannon, W.(2019).The Neuroethics of Memory: From Total Recall to Oblivion.Cambridge, UK:Cambrideg University Press.
  13. Hancock, P. (2018). Self-Driving Cars and Humans Face Inevitable Collisions. Retrieved from https://www.scientificamerican.com/article/self-driving-cars-and-humans-face-inevitable-collisions/
  14. Haugeland, J.(1998).Having Thought: Essays in the metaphysics of mind.Cambridge, Massachusetts:Harvard University Press.
  15. Hickey, L. P. The Brain in a Vat Argument. Retrieved from https://www.iep.utm.edu/brainvat/
  16. Luhmann, N.,Bednarz, J.(Trans.),Baecker, D.(Trans.)(1995).Social Systems.Stanford, California:Stanford University Press.
  17. Malik, K.(2000).Man, beast and zombie: what science can and cannot tell us about human nature.London:Weidenfeld & Nicolson.
  18. Marx, K. (1887[1867]). Capital (S. Morre & E. Aveling, Trans.). Moscow: Progress Publishers.
  19. Moore, P.(2003).Being Me: What it Means to be Human.West Sussex, England:Wiley.
  20. Nilsson, N.(2010).The Quest for Artificial Intelligence: A History of Ideas and Achievements.Cambridge:Cambridge University Press.
  21. Soudi, A. (2018). Driverless cars might follow the rules of the road, but what about the language of driving? Retrieved from https://theconversation.com/driverless-carsmight-follow-the-rules-of-the-road-but-what-about-the-language-of-driving-88824
  22. Spencer-Brown, G.(1969).Laws of Form.London:Geroge Allen and Unwin Ltd..
  23. Stiegler, B.,Beardsworth, R.(Trans.),Collins, G.(Trans.)(1998).Technics and Time.Stanford, California:Stanford University Press.
  24. Todes, S.(2001).Body and World.Cambridge, Massachusetts:The MIT Press.
  25. Tomlinson, J.(2007).The Culture of Speed: The Coming of Immediacy.London:Sage Publications Ltd..
被引用次数
  1. 甘偵蓉(2023)。為何應該以人工智能強化倫理衝突的緊急決策?。資訊社會研究,45,19-50。
  2. 劉湘瑤,趙恩,張瓅勻,張震興,李思賢(2021)。人工智能倫理的挑戰與反思:文獻分析。資訊社會研究,41,27-62。
  3. (2023)。科技中介的日常生活實作:一個分析框架的提出-以血糖監測與胰島素注射技術為例。政治與社會哲學評論,79,57-114。