Yoder Keith J, Decety Jean
Department of Psychology, University of Chicago, Chicago, IL, USA.
Department of Psychiatry and Behavioral Neuroscience, University of Chicago Medicine, Chicago, IL, USA.
Psychol Crime Law. 2018;24(3):279-295. doi: 10.1080/1068316X.2017.1414817. Epub 2017 Dec 12.
Across cultures humans care deeply about morality and create institutions, such as criminal courts, to enforce social norms. In such contexts, judges and juries engage in complex social decision-making to ascertain a defendant's capacity, blameworthiness, and culpability. Cognitive neuroscience investigations have begun to reveal the distributed neural networks which interact to implement moral judgment and social decision-making, including systems for reward learning, valuation, mental state understanding, and salience processing. These processes are fundamental to morality, and their underlying neural mechanisms are influenced by individual differences in empathy, caring and justice sensitivity. This new knowledge has important implication in legal settings for understanding how triers of fact reason. Moreover, recent work demonstrates how disruptions within the social decision-making network facilitate immoral behavior, as in the case of psychopathy. Incorporating neuroscientific methods with psychology and clinical neuroscience has the potential to improve predictions of recidivism, future dangerousness, and responsivity to particular forms of rehabilitation.
在各种文化中,人类都非常重视道德,并创建诸如刑事法庭等机构来执行社会规范。在这种情况下,法官和陪审团会进行复杂的社会决策,以确定被告的能力、应受谴责性和罪责。认知神经科学研究已经开始揭示相互作用以实现道德判断和社会决策的分布式神经网络,包括奖励学习、估值、心理状态理解和显著性处理系统。这些过程是道德的基础,其潜在的神经机制会受到同理心、关怀和正义敏感度等个体差异的影响。这一新知识在法律环境中对于理解事实认定者的推理方式具有重要意义。此外,最近的研究表明,社会决策网络内的干扰如何助长不道德行为,比如在精神病态的案例中。将神经科学方法与心理学和临床神经科学相结合,有可能改善对累犯、未来危险性以及对特定形式康复的反应性的预测。