인공지능이 생명의료 영역에 제기하는 윤리 문제
Ethical Issues Raised by Artificial Intelligence in the Biomedical Field
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초록
본 논문의 목적은 최근 급속도로 발전하고 있는 인공지능의 발전과 의료 영역에로의 도입과 관련한 윤리 문제를 검토하는 것이다. 이러한 목적에 따라 2장에서는 인공지능에 대한 이해를 위해 인공지능에 대한 개념 정의와 관련한 내용을 검토하고, 인공지능에 대한 인간의 초창기 상상의 단계부터 기술의 전문화 과정과 최근 신경망을 활용한 인공지능 기술의 접근방식에 대해서 함께 살펴보았다. 이어진 3장에서는 생명의료 분야에서 인공지능의 도입이 제기하는 윤리적 문제를 5가지 영역(의료진의 대체 가능성, 인공지능에 대한 신뢰 가능성, 의학적 발전과 인공지능의 관계, 프라이버시 보호, 공정성과 정의의 과제)으로 설정하여, 그 답을 검토해 보고자 하였다.
Abstract
The purpose of this paper is to examine the ethical issues related to the recent rapid development of artificial intelligence and its introduction into the medical field. In accordance with this purpose, Chapter 2 reviews the content related to the definition of the concept of artificial intelligence in order to understand artificial intelligence. From the initial stage of human imagination to artificial intelligence, the process of specialization of technology and artificial intelligence using neural networks recently We looked at the approach of technology together. In Chapter 3, I divided the ethical issues posed by the introduction of artificial intelligence in the bio-medical field into five areas (substitutability of medical staff, reliability of artificial intelligence, independent development of medical technology, privacy protection, and issues of fairness and justice) and tried to review the answers.
참고문헌 (21)
- 최희식, "딥러닝 기술이 가지는 보안 문제점에 대한 분석", 한국융합학회논문지, 10(5), pp.9~16 (2019), 한국융합학회[DOI]
- Aikins, J. S., "PUFF: an expert system for interpretation of pulmonary function data", Computers and Biomedical Research, 16(3), pp.199~208 (1983)
- Berman, J. J., "Confidentiality issues formedical data miners", Artificial Intelligence in Medicine, 26(1–2), pp.25~36 (2002)
- Boden, M, "Artificial intelligence. A very short introduction" (2018), Oxford University Press
- Bostrom, N., "The cambridge handbook of artificial intelligence eds", pp.316~334 (2014), Cambridge University Press
- Buchanan, B. G., "A (very) brief history of artificial intelligence", AI Magazine, 26(4), pp.53~ (2005)
- Ekmekci, P. E., "Artificial Intelligence and Bioethics" (2020), Springer
- Grafton, Anthony, "Natural Particulars: Nature and the Disciplines in Renaissance Europe" (1999), MIT Press
- "Fundamentals of deep learning—starting with artificial neural network" (2016)[URL]
- Kurzweil, R., "The age of spiritual machines When computers exceed human intelligence" (2000), Penguin Books
- Kurzweil, R., "The age of intelligent machines" (1990), MIT Press
- Marcus, G., "Rebooting AI: building artificial intelligence we can trust" (2019), Pantheon Books
- McCarthy, J. M., "A proposal for the Dartmouth summer research project on artificial intelligence", AI Magazine, 27(4), pp.12~ (2006)
- Miller, R. A., "Internist-I, an experimental computer-based diagnostic consultant for general internal medicine", New England Journal of Medicine, 307(8), pp.468~476 (1982)
- Moon, S. E., "Machine Learning and Deep Learning Technology Trends, Information and Telecommunication", 49~56 (2016)
- Nilsson, N. J., "The quest for artificial intelligence a history of ideas and achievements", pp.603~611 (2009), Cambridge University Press
- Raphael, B., "The thinking computer: mind inside matter" (1976), W. H. Freeman
- Russel, S. J., "Artificial intelligence a modern approach" (2016), Pearson Education Limited
- Topol, E., "Deep medicine: how artificial intelligence can make healthcare human again" (2019), Basic Books. Ingram Publisher Services US
- Turing, A. M., "Computing machinery and intelligence", Mind, 59(236), pp.443~460 (1950)
- Yu, V. L., "Antimicrobial selection by a computer. a blinded evaluation by infectious diseases experts", JAMA, 242(12), pp.1279~1282 (1979)