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Neuroimaging-based prediction of mental traits: Road to utopia or Orwell?
PLOS Biology ( IF 7.8 ) Pub Date : 2019-11-14 , DOI: 10.1371/journal.pbio.3000497
Simon B Eickhoff 1, 2 , Robert Langner 1, 2
Affiliation  

Predicting individual mental traits and behavioral dispositions from brain imaging data through machine-learning approaches is becoming a rapidly evolving field in neuroscience. Beyond scientific and clinical applications, such approaches also hold the potential to gain substantial influence in fields such as human resource management, education, or criminal law. Although several challenges render real-life applications of such tools difficult, future conflicts of individual, economic, and public interests are preprogrammed, given the prospect of improved personalized predictions across many domains. In this Perspective paper, we thus argue for the need to engage in a discussion on the ethical, legal, and societal implications of the emergent possibilities for brain-based predictions and outline some of the aspects for this discourse.

中文翻译:

基于神经影像的心理特征预测:通往乌托邦还是奥威尔?

通过机器学习方法从大脑成像数据预测个体的心理特征和行为倾向,正在成为神经科学领域一个迅速发展的领域。除了科学和临床应用之外,此类方法还具有在诸如人力资源管理,教育或刑法等领域获得实质性影响的潜力。尽管有许多挑战使这种工具在现实生活中难以应用,但鉴于跨领域改进个性化预测的前景,已经对个人,经济和公共利益的未来冲突进行了预先编程。因此,在本《观点》论文中,我们主张有必要就基于脑的预测的新兴可能性的伦理,法律和社会含义进行讨论,并概述本论述的某些方面。
更新日期:2019-12-03
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