被归类的感觉:通过 VR 透视提高对人工智能偏见的同情和认识

IF 3.2 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Frontiers in virtual reality Pub Date : 2024-03-04 DOI:10.3389/frvir.2024.1340250
Ruben Schlagowski, Maurizio Volanti, Katharina Weitz, Silvan Mertes, Johanna Kuch, Elisabeth André
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引用次数: 0

摘要

在人工智能系统日益驱动的世界里,人工智能的使用案例对人们的生活产生重大影响的争议变得更有可能发生。因此,如何提高人们对可能影响弱势群体的人工智能偏见的认识就成了一项日益严峻的挑战。虚拟现实技术以前曾被证明可以通过身临其境的视角捕捉来增加同理心,因此我们进行了一项实验室研究,让参与者面对一个有偏见的人工智能 "绿野仙踪",同时让他们化身为因年龄和性别而在获得高金融信用评分的能力上存在很大差异的角色。我们发现,在 VR 中化身角色的参与者对他们所化身的角色的共鸣明显增加,而且与他们想象自己是这些角色的基线条件相比,他们对人工智能的公平性评价明显降低。此外,我们还研究了化身角色之间的差异,并讨论了定性结果,以深入了解参与者心理模型的创建过程。
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The feeling of being classified: raising empathy and awareness for AI bias through perspective-taking in VR
In a world increasingly driven by AI systems, controversial use cases for AI that significantly affect people’s lives become more likely scenarios. Hence, increasing awareness of AI bias that might affect underprivileged groups becomes an increasing challenge. As Virtual Reality has previously been shown to increase empathy through immersive perspective-taking, we conducted a laboratory study in which participants were confronted with a biased Wizard of Oz AI while embodying personas that varied widely in their ability to achieve high financial credit scores due to their age and gender. We found that participants embodying personas in VR felt significantly more empathy toward the characters they embodied and rated the AI as significantly less fair compared to a baseline condition in which they imagined to be these characters. Furthermore, we investigate differences between embodied personas and discuss qualitative results to gain insight into the participant’s mental model creation.
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
0
审稿时长
13 weeks
期刊最新文献
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