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遗传增强、社会公正和福利导向的分配模式。

Genetic enhancement, social justice, and welfare-oriented patterns of distribution.

机构信息

Department of Philosophy, University of Alberta, Edmonton, Alberta T6G 2E7, Canada.

出版信息

Bioethics. 2012 Jul;26(6):296-304. doi: 10.1111/j.1467-8519.2010.01872.x. Epub 2011 Feb 14.

DOI:10.1111/j.1467-8519.2010.01872.x
PMID:21320142
Abstract

The debate over the host of moral issues that genetic enhancement technology (GET) raises has been significant. One argument that has been advanced to impugn its moral legitimacy is the 'unfair advantage argument' (UAA), which states: allowing access to GET to be determined by socio-economic status would lead to unjust outcomes, namely, create a genetic caste system, and with it the exacerbation and perpetuation of existing socio-economic inequalities. Fritz Allhoff has recently objected to the argument, the kernel of which is that it conflates the use of the technology with its distribution. GET, he argues, would generate unjust outcomes only if it is distributed according to principles of an unjust pattern of distribution; for if we can determine what constitutes a 'just' distributive scheme, then the technology can be allocated according to the principles of that scheme. In this paper I argue the following cluster of related claims: (1) both UAA and Allhoff's proposed distributive schemes ignore the importance of non-genetic factors in the development of an individual's characteristics and capacities; (2) if we accept the view that it is good to prevent unjust outcomes that arise because some have exclusive access to GET, then we have to accept wide-ranging distributive schemes; (3) by tracking genetic and non-genetic factors wide-ranging schemes do violate in some sense the widely shared value of neutrality in liberal democracies.

摘要

关于基因增强技术(GET)引发的一系列道德问题的争论一直很激烈。其中一个被用来质疑其道德合法性的论点是“不公平优势论点”(UAA),该论点指出:允许社会经济地位决定是否获得 GET 的机会,将导致不公正的结果,即创造一个基因等级制度,并由此加剧和延续现有的社会经济不平等。弗里茨·奥夫曼(Fritz Allhoff)最近对该论点提出了反对意见,其核心观点是,该论点将技术的使用与其分配混为一谈。他认为,只有当 GET 根据不公正的分配模式进行分配时,才会产生不公正的结果;因为如果我们能够确定什么构成了“公正”的分配方案,那么就可以根据该方案的原则来分配技术。在本文中,我提出了以下一系列相关主张:(1)UAA 和奥夫曼提出的分配方案都忽略了非遗传因素在个体特征和能力发展中的重要性;(2)如果我们接受这样一种观点,即防止由于某些人独占 GET 而产生的不公正结果是好事,那么我们就必须接受广泛的分配方案;(3)通过跟踪遗传和非遗传因素,广泛的方案在某种意义上确实违反了自由民主国家中普遍存在的中立性的广泛价值。

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