面向所有人的可解释人工智能--面向认知障碍者的包容性 XAI 路线图

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES Technology in Society Pub Date : 2024-09-06 DOI:10.1016/j.techsoc.2024.102685
Myrthe L. Tielman , Mari Carmen Suárez-Figueroa , Arne Jönsson , Mark A. Neerincx , Luciano Cavalcante Siebert
{"title":"面向所有人的可解释人工智能--面向认知障碍者的包容性 XAI 路线图","authors":"Myrthe L. Tielman ,&nbsp;Mari Carmen Suárez-Figueroa ,&nbsp;Arne Jönsson ,&nbsp;Mark A. Neerincx ,&nbsp;Luciano Cavalcante Siebert","doi":"10.1016/j.techsoc.2024.102685","DOIUrl":null,"url":null,"abstract":"<div><p>Artificial intelligence (AI) is increasingly prevalent in our daily lives, setting specific requirements for responsible development and deployment: The AI should be explainable and inclusive. Despite substantial research and development investment in explainable AI, there is a lack of effort into making AI explainable and inclusive to people with cognitive disabilities as well. In this paper, we present the first steps towards this research topic. We argue that three main questions guide this research, namely: 1) How explainable should a system be?; 2) What level of understanding can the user reach, and what is the right type of explanation to help them reach this level?; and 3) How can we implement an AI system that can generate the necessary explanations? We present the current state of the art in research on these three topics, the current open questions and the next steps. Finally, we present the challenges specific to bringing these three research topics together, in order to eventually be able to answer the question of how to make AI systems explainable also to people with cognitive disabilities.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102685"},"PeriodicalIF":10.1000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0160791X24002331/pdfft?md5=f48ee62c3dc226480e9c8831c6cd0ece&pid=1-s2.0-S0160791X24002331-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities\",\"authors\":\"Myrthe L. Tielman ,&nbsp;Mari Carmen Suárez-Figueroa ,&nbsp;Arne Jönsson ,&nbsp;Mark A. Neerincx ,&nbsp;Luciano Cavalcante Siebert\",\"doi\":\"10.1016/j.techsoc.2024.102685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Artificial intelligence (AI) is increasingly prevalent in our daily lives, setting specific requirements for responsible development and deployment: The AI should be explainable and inclusive. Despite substantial research and development investment in explainable AI, there is a lack of effort into making AI explainable and inclusive to people with cognitive disabilities as well. In this paper, we present the first steps towards this research topic. We argue that three main questions guide this research, namely: 1) How explainable should a system be?; 2) What level of understanding can the user reach, and what is the right type of explanation to help them reach this level?; and 3) How can we implement an AI system that can generate the necessary explanations? We present the current state of the art in research on these three topics, the current open questions and the next steps. Finally, we present the challenges specific to bringing these three research topics together, in order to eventually be able to answer the question of how to make AI systems explainable also to people with cognitive disabilities.</p></div>\",\"PeriodicalId\":47979,\"journal\":{\"name\":\"Technology in Society\",\"volume\":\"79 \",\"pages\":\"Article 102685\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0160791X24002331/pdfft?md5=f48ee62c3dc226480e9c8831c6cd0ece&pid=1-s2.0-S0160791X24002331-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technology in Society\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0160791X24002331\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL ISSUES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X24002331","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0

摘要

人工智能(AI)在我们的日常生活中越来越普遍,对负责任的开发和部署提出了具体要求:人工智能应具有可解释性和包容性。尽管在可解释的人工智能方面投入了大量研发资金,但在使人工智能对认知障碍者也具有可解释性和包容性方面却缺乏努力。在本文中,我们提出了实现这一研究课题的第一步。我们认为,有三个主要问题可以指导这项研究,即1)一个系统应该有多大的可解释性;2)用户可以达到什么样的理解水平,什么样的解释才是帮助他们达到这一水平的正确类型;3)我们如何才能实现一个可以生成必要解释的人工智能系统?我们将介绍这三个主题的研究现状、当前的开放性问题和下一步计划。最后,我们介绍了将这三个研究课题结合在一起所面临的具体挑战,以便最终能够回答如何让人工智能系统也能为认知障碍者提供解释这一问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities

Artificial intelligence (AI) is increasingly prevalent in our daily lives, setting specific requirements for responsible development and deployment: The AI should be explainable and inclusive. Despite substantial research and development investment in explainable AI, there is a lack of effort into making AI explainable and inclusive to people with cognitive disabilities as well. In this paper, we present the first steps towards this research topic. We argue that three main questions guide this research, namely: 1) How explainable should a system be?; 2) What level of understanding can the user reach, and what is the right type of explanation to help them reach this level?; and 3) How can we implement an AI system that can generate the necessary explanations? We present the current state of the art in research on these three topics, the current open questions and the next steps. Finally, we present the challenges specific to bringing these three research topics together, in order to eventually be able to answer the question of how to make AI systems explainable also to people with cognitive disabilities.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
期刊最新文献
Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region Artificial Intelligence: Intensifying or mitigating unemployment? Technology shock of ChatGPT, social attention and firm value: Evidence from China Exploring determinants influencing artificial intelligence adoption, reference to diffusion of innovation theory Advanced cryopreservation as an emergent and convergent technological platform
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1