气候变化领域集成服务门户(CCPortal): Conversational AI and equity through assessing GPT-3's communication with diverse social groups on contentious topics

CCPortal

DOI	10.1038/s41598-024-51969-w
	Conversational AI and equity through assessing GPT-3's communication with diverse social groups on contentious topics
	Chen, Kaiping; Shao, Anqi; Burapacheep, Jirayu; Li, Yixuan
发表日期	2024
ISSN	2045-2322
起始页码	14
结束页码	1
卷号	14 期号:1
英文摘要	Autoregressive language models, which use deep learning to produce human-like texts, have surged in prevalence. Despite advances in these models, concerns arise about their equity across diverse populations. While AI fairness is discussed widely, metrics to measure equity in dialogue systems are lacking. This paper presents a framework, rooted in deliberative democracy and science communication studies, to evaluate equity in human-AI communication. Using it, we conducted an algorithm auditing study to examine how GPT-3 responded to different populations who vary in sociodemographic backgrounds and viewpoints on crucial science and social issues: climate change and the Black Lives Matter (BLM) movement. We analyzed 20,000 dialogues with 3290 participants differing in gender, race, education, and opinions. We found a substantively worse user experience among the opinion minority groups (e.g., climate deniers, racists) and the education minority groups; however, these groups changed attitudes toward supporting BLM and climate change efforts much more compared to other social groups after the chat. GPT-3 used more negative expressions when responding to the education and opinion minority groups. We discuss the social-technological implications of our findings for a conversational AI system that centralizes diversity, equity, and inclusion.
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001145797200084
来源期刊	SCIENTIFIC REPORTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/287365
作者单位	University of Wisconsin System; University of Wisconsin Madison; Stanford University; University of Wisconsin System; University of Wisconsin Madison
推荐引用方式 GB/T 7714	Chen, Kaiping,Shao, Anqi,Burapacheep, Jirayu,et al. Conversational AI and equity through assessing GPT-3's communication with diverse social groups on contentious topics[J],2024,14(1).
APA	Chen, Kaiping,Shao, Anqi,Burapacheep, Jirayu,&Li, Yixuan.(2024).Conversational AI and equity through assessing GPT-3's communication with diverse social groups on contentious topics.SCIENTIFIC REPORTS,14(1).
MLA	Chen, Kaiping,et al."Conversational AI and equity through assessing GPT-3's communication with diverse social groups on contentious topics".SCIENTIFIC REPORTS 14.1(2024).