신경윤리의 독자성과 주요 쟁점들
Uniqueness and Major Issues of Neuroethics
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본 논문은 신경윤리의 철학적 의미와 인지 패러다임 안에서의 독자적 위치를 검토하고, 신경윤리의 쟁점들을 고찰하는 것을 목적으로 한다. 뇌과학의 발전은 인간 정신에 대한 보다 직접적인 탐구와 개입을 가능하게 하여 전통적인 물질과 정신의 경계를 약화시키고, 인간 본성에 대한 새로운 철학적 질문들을 제기한다. 신경윤리는 기존 법적, 사회적 체계에서 포괄하기 어려운 뇌과학과 관련된 윤리적 문제들을 다루기 위하여 학제적이고 통합적 관점을 취한다. 신경윤리의 쟁점들 중에는 일부 고전적 생명윤리 쟁점과 겹치는 부분도 있지만 뇌과학과의 관련성 안에서만 특수하게 발견할 수 있는 문제들이 더 많다. 신경윤리의 고유 쟁점은 대체로 두뇌활동의 관찰과 복호화를 통한 마음읽기와 두뇌활동에 대한 개입을 통한 인지향상과 관련되어 있는데, 이러한 문제들을 다루기 위해서는 생명윤리 하위 분야를 넘어서는 독자적 분야로서의 신경윤리가 필요하다는 주장도 제기되고 있다. 최근 뇌과학 연구 동향과 발전 단계를 고려할 때, 국내에서도 본격적인 신경윤리 논의와 관련 분야 전문가들의 협력을 시작할 필요가 있다.
Abstract
This paper aims to examine the philosophical significance of neuroethics and its unique position within the cognitive paradigm, and to discuss major issues of neuroethics. Recent advances in neuroscience enable more direct access and intervention to human mind, which reduces the distinction between matter and mind and brings up new philosophical questions on human nature. Neuroethics takes interdisciplinary and integrative approach, in order to deal with the ethical issues related to new findings and technology of neuroscience that cannot be covered by the traditional legal and social systems. Some of the ethical issues of neuroscience overlap with the classical bioethics problems but majority of major issues are unique to neuroethics. These issues are mainly related to mind reading through the observation and decoding of brain activities and to cognitive enhancement through directly manipulating brain functions. Considering the current status and trends of Korean neuroscientific research, it is necessary to begin in-depth discussion of neuroethical issues with the collaboration among experts in related fields.
참고문헌 (36)
- 설선혜, "신경윤리학: 뇌과학의 윤리적, 철학적, 법적, 사회적 문제", 한국심리학회지:일반, 27(1), pp.1~41 (2008), 한국심리학회
- "‘토막살인’ 박춘풍 사이코패스 감정 뇌영상 촬영" (2015)[URL]
- Aspinwall, L. G., "The double-edged sword: Does biomechanism increase or decrease judges' sentencing of psychopaths?", Science, 337(6096), pp.846~849 (2012)
- Bainbridge, W. S., "Converging technologies for improving human performance: Nanotechnology, biotechnology, information technology and cognitive science" (2013), Springer Science & Business Media
- Buckholtz, J. W., "Promises, promises for neuroscience and law", Current Biology, 24(18), pp.R861~R867 (2014)
- Dunlop, B., "Functional Connectivity of the Subcallosal Cingulate Cortex And Differential Outcomes to Treatment With Cognitive-Behavioral Therapy or Antidepressant Medication for Major Depressive Disorder", The American Journal of Psychiatry, 174(6), pp.533~545 (2017)
- Elsey, J., "Manipulating human memory through reconsolidation : Ethical implications of a new therapeutic approach", AJOB Neuroscience, 7(4), pp.225~236 (2016)
- Farah, M. J., "Neuroethics : the practical and the philosophical", Trends in Cognitive Science, 9(1), pp.34~40 (2005)
- Farah, M. J., "Neuroethics : An Introduction with Readings" (2010), MIT Press
- Farah, M. J., "Functional MRI-based lie detection : scientific and societal challenges", Nature Reviews Neuroscience, 15(2), pp.123~131 (2014)
- Gazzaniga, M. S., "뇌는 윤리적인가" (2015), 바다출판사
- Giordano, J. J., "Scientific and philosophical perspectives in neuroethics" (2010), Cambridge University Press
- Glannon, W., "Defining right and wrong in brain science" (2007), University of Chicago Press
- Glannon, W., "Psychopharmacology and memory", Journal of Medical Ethics, 32, pp.74~78 (2006)
- Goering, S., "On the Necessity of Ethical Guidelines for Novel Neurotechnologies", Cell, 167(4), pp.882~885 (2016)
- Harmon-Jones, E., "A brief overview of social neuroscience", Social Neuroscience:Biological Approaches to Social Psychology, 1 (2016)
- Haxby, J. V., "Decoding neural representational spaces using multivariate pattern analysis", Annual review of neuroscience, 37, pp.435~456 (2014)
- Hein, G., "The brain’s functional network architecture reveals human motives", Science, 351(6277), pp.1074~1078 (2016)
- Horikawa, T., "Generic decoding of seen and imagined objects using hierarchical visual features", Nature communications, 8, pp.15037~ (2017)
- Horikawa, T., "Neural decoding of visual imagery during sleep", Science, 340(6132), pp.639~642 (2013)
- Hu, L., "Painful issues in pain prediction", Trends in neurosciences, 39(4), pp.212~220 (2016)
- Hyman, S., "What are the right targets for psychopharmacolgy?", Science, 299, pp.350~351 (2003)
- Illes, J., "Neuroethics : a modern context for ethics in neuroscience", Trends in neurosciences, 29(9), pp.511~517 (2006)
- Kadosh, R. C., "The neuroethics of non-invasive brain stimulation", Current Biology, 22(4), pp.R108~R111 (2012)
- Kahnt, T., "A decade of decoding reward-related fMRI signals and where we go from here" (2017), NeuroImage
- Kragel, P. A., "Decoding the Nature of Emotion in the Brain", Trends in cognitive sciences, 20(6), pp.444~455 (2016)
- Lombera, S., "The international dimensions of neuroethics", Developing world bioethics, 9(2), pp.57~64 (2009)
- "fMRI lie detection gets its day in court" (2010)[URL]
- Poldrack, R. A., "Inferring mental states from neuroimaging data : from reverse inference to large-scale decoding", Neuron, 72(5), pp.692~697 (2011)
- Poldrack, R., "Neuroscience : The risks of reading the brain", Nature, 541(7636), pp.156~156 (2017)
- Racine, E., "fMRI in the public eye", Nature Review Neuroscience, 6(2), pp.159~164 (2005)
- Racine, E., "Cognitive enhancement, lifestyle choice or misuse of prescription drugs?", Neuroethics, 3(1), pp.1~4 (2010)
- Ritchie, J. B., "Decoding the brain : neural representation and the limits of multivariate pattern analysis in cognitive neuroscience", The British Journal for the Philosophy of Science (2017)
- Sul, S., "Medial prefrontal cortical thinning mediates shifts in other-regarding preferences during adolescence", Scientific reports, 7(1), pp.8510~ (2017)
- Woo, C. W., "Building better biomarkers : brain models in translational neuroimaging", Nature neuroscience, 20(3), pp.365~377 (2017)
- Yarkoni, T., "Large-scale automated synthesis of human functional neuroimaging data", Nature methods, 8(8), pp.665~670 (2011)