Duncan Caitlin, Tölch Ulf, Walter Henrik, Dziobek Isabel
School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.
Institute for Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
Front Psychol. 2023 May 25;14:1139128. doi: 10.3389/fpsyg.2023.1139128. eCollection 2023.
Discrimination toward ethnic minorities is a persistent societal problem. One reason behind this is a bias in trust: people tend to trust their ingroup and comparatively distrust outgroups.
In this study, we investigated whether and how people change their explicit trust bias with respect to ethnicity based on behavioral interactions with in- and outgroup members in a modified Trust Game.
Subjects' initial explicit trust bias disappeared after the game. The change was largest for ingroup members who behaved unfairly, and the reduction of trust bias generalized to a small sample of new in- and outgroup members. Reinforcement learning models showed subjects' learning was best explained by a model with only one learning rate, indicating that subjects learned from trial outcomes and partner types equally during investment.
We conclude that subjects can reduce bias through simple learning, in particular by learning that ingroup members can behave unfairly.
对少数族裔的歧视是一个长期存在的社会问题。其背后的一个原因是信任偏差:人们倾向于信任自己的内群体,相对不信任外群体。
在本研究中,我们调查了人们是否以及如何基于在一个改良信任博弈中与内群体和外群体成员的行为互动,改变他们在种族方面的显性信任偏差。
游戏结束后,受试者最初的显性信任偏差消失了。对于行为不公正的内群体成员,这种变化最大,并且信任偏差的减少推广到了一小部分新的内群体和外群体成员样本。强化学习模型表明,受试者的学习最好由一个只有一个学习率的模型来解释,这表明受试者在投资过程中从试验结果和伙伴类型中学习的程度相同。
我们得出结论,受试者可以通过简单学习减少偏差,特别是通过了解到内群体成员可能行为不公正。