“计算机拒绝”:算法决策支持和组织责任

Angelika Adensamer , Rita Gsenger , Lukas Daniel Klausner
{"title":"“计算机拒绝”:算法决策支持和组织责任","authors":"Angelika Adensamer ,&nbsp;Rita Gsenger ,&nbsp;Lukas Daniel Klausner","doi":"10.1016/j.jrt.2021.100014","DOIUrl":null,"url":null,"abstract":"<div><p>Algorithmic decision support is increasingly used in a whole array of different contexts and structures in various areas of society, influencing many people’s lives. Its use raises questions, among others, about accountability, transparency and responsibility. While there is substantial research on the issue of algorithmic systems and responsibility in general, there is little to no prior research on <em>organisational</em> responsibility and its attribution. Our article aims to fill that gap; we give a brief overview of the central issues connected to ADS, responsibility and decision-making in organisational contexts and identify open questions and research gaps. Furthermore, we describe a set of guidelines and a complementary digital tool to assist practitioners in mapping responsibility when introducing ADS within their organisational context.</p></div>","PeriodicalId":73937,"journal":{"name":"Journal of responsible technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266665962100007X/pdfft?md5=66c50c16e31d2aebf63b1f07b3c84789&pid=1-s2.0-S266665962100007X-main.pdf","citationCount":"7","resultStr":"{\"title\":\"“Computer says no”: Algorithmic decision support and organisational responsibility\",\"authors\":\"Angelika Adensamer ,&nbsp;Rita Gsenger ,&nbsp;Lukas Daniel Klausner\",\"doi\":\"10.1016/j.jrt.2021.100014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Algorithmic decision support is increasingly used in a whole array of different contexts and structures in various areas of society, influencing many people’s lives. Its use raises questions, among others, about accountability, transparency and responsibility. While there is substantial research on the issue of algorithmic systems and responsibility in general, there is little to no prior research on <em>organisational</em> responsibility and its attribution. Our article aims to fill that gap; we give a brief overview of the central issues connected to ADS, responsibility and decision-making in organisational contexts and identify open questions and research gaps. Furthermore, we describe a set of guidelines and a complementary digital tool to assist practitioners in mapping responsibility when introducing ADS within their organisational context.</p></div>\",\"PeriodicalId\":73937,\"journal\":{\"name\":\"Journal of responsible technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S266665962100007X/pdfft?md5=66c50c16e31d2aebf63b1f07b3c84789&pid=1-s2.0-S266665962100007X-main.pdf\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of responsible technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S266665962100007X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of responsible technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266665962100007X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

算法决策支持越来越多地应用于社会各个领域的一系列不同背景和结构中,影响着许多人的生活。它的使用引发了关于问责制、透明度和责任等方面的问题。虽然对算法系统和责任问题进行了大量研究,但之前很少或根本没有对组织责任及其归属进行研究。我们的文章旨在填补这一空白;我们简要概述了与ADS、组织环境中的责任和决策相关的核心问题,并确定了悬而未决的问题和研究空白。此外,我们描述了一套指导方针和一个互补的数字工具,以帮助从业者在其组织环境中引入ADS时映射责任。
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
“Computer says no”: Algorithmic decision support and organisational responsibility

Algorithmic decision support is increasingly used in a whole array of different contexts and structures in various areas of society, influencing many people’s lives. Its use raises questions, among others, about accountability, transparency and responsibility. While there is substantial research on the issue of algorithmic systems and responsibility in general, there is little to no prior research on organisational responsibility and its attribution. Our article aims to fill that gap; we give a brief overview of the central issues connected to ADS, responsibility and decision-making in organisational contexts and identify open questions and research gaps. Furthermore, we describe a set of guidelines and a complementary digital tool to assist practitioners in mapping responsibility when introducing ADS within their organisational context.

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
Journal of responsible technology
Journal of responsible technology Information Systems, Artificial Intelligence, Human-Computer Interaction
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
168 days
期刊最新文献
Start doing the right thing: Indicators for socially responsible start-ups and investors Virtual Social Labs – Requirements and Challenges for Effective Team Collaboration A call to action: Designing a more transparent online world for children and young people Embedding responsible innovation into R&D practices: A case study of socially assistive robot development
×
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