When Artificial Intelligence Fails

Rowena Rodrigues, Anaïs Rességuier, Nicole Santiago
{"title":"When Artificial Intelligence Fails","authors":"Rowena Rodrigues, Anaïs Rességuier, Nicole Santiago","doi":"10.53116/pgaflr.7030","DOIUrl":null,"url":null,"abstract":"Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them within the landscape of initiatives that advance responsible AI. It reflects on their primary objective, i.e. learning from mistakes to avoid them in the future, and explores how they might benefit diverse stakeholders. The article supports the broader uptake of these databases and recommends four key actions to enhance their value.","PeriodicalId":183882,"journal":{"name":"Public Governance, Administration and Finances Law Review","volume":"6 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Governance, Administration and Finances Law Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53116/pgaflr.7030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them within the landscape of initiatives that advance responsible AI. It reflects on their primary objective, i.e. learning from mistakes to avoid them in the future, and explores how they might benefit diverse stakeholders. The article supports the broader uptake of these databases and recommends four key actions to enhance their value.
当人工智能失败时
各种倡议促进负责任地开发、部署和使用人工智能(AI)。人工智能事件数据库已成为人工智能治理方面宝贵而及时的学习资源和工具。本文评估了此类数据库的价值,并概述了如何提高其价值。文章回顾了四个数据库:人工智能事件数据库、人工智能、算法和自动化事件与争议库、人工智能事件跟踪器和人工智能在哪里。文章对这些数据库进行了描述性分析,研究了它们的目标,并将它们定位在推进负责任人工智能的倡议范围内。文章反思了这些数据库的主要目标,即从错误中吸取教训,避免今后再犯,并探讨了这些数据库如何使不同的利益相关者受益。文章支持更广泛地使用这些数据库,并建议采取四项关键行动来提高它们的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信