arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2407.03473cs.CYcs.AIcs.CL
收藏

探索不同国家和宗教背景下生成AI回答中的LGBTQ+偏见

Exploring LGBTQ+ Bias in Generative AI Answers across Different Country and Religious Contexts

Corvinus University of Budapest(布达佩斯考文纽斯大学);Central European University Democracy Institute(中欧大学民主研究所);University of British Columbia Okanagan(不列颠哥伦比亚大学奥肯那根分校);HUN-REN Centre for Social Sciences(匈牙利研究网络社会科学中心)

Lilla Vicsek, Anna Vancsó, Mike Zajko, Judit Takacs

AI总结:

本研究探讨生成AI在不同国家和宗教背景下对LGBTQ+偏见的回应,发现ChatGPT 3.5表现出文化相对主义,而Bard强调人权并提供更多支持。

摘要:

先前的讨论强调了生成AI工具需要更加文化敏感的必要性,但往往忽视了处理关于少数群体内容的复杂性,这些少数群体在不同文化和宗教中被感知不同。我们的研究检验了两种生成AI系统如何响应带有不同文化和宗教背景信息的同性恋歧视性陈述。研究发现,ChatGPT 3.5的回复表现出文化相对主义,与Bard的回复形成对比,Bard强调人权并为LGBTQ+问题提供了更多支持。两种系统都显示出响应显著变化,基于提示中提供的背景信息,这表明AI系统可能根据所收到的用户背景信息调整其对LGBTQ+人群支持的程度和形式。本研究有助于理解AI响应的社会和伦理影响,并论证任何使生成AI输出更加文化多元化的努力都需要以基本的人权为基础。本预印本的修订版可通过Big Data & Society开放获取,网址为https://doi.org/10.1177/20539517251396069

英文摘要:

Previous discussions have highlighted the need for generative AI tools to become more culturally sensitive, yet often neglect the complexities of handling content about minorities, who are perceived differently across cultures and religions. Our study examined how two generative AI systems respond to homophobic statements with varying cultural and religious context information. Findings showed ChatGPT 3.5's replies exhibited cultural relativism, in contrast to Bard's, which stressed human rights and provided more support for LGBTQ+ issues. Both demonstrated significant change in responses based on contextual information provided in the prompts, suggesting that AI systems may adjust in their responses the degree and forms of support for LGBTQ+ people according to information they receive about the user's background. The study contributes to understanding the social and ethical implications of AI responses and argues that any work to make generative AI outputs more culturally diverse requires a grounding in fundamental human rights. A revised edition of this preprint is available open access at Big Data & Society at https://doi.org/10.1177/20539517251396069

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑