迈向规范性人工智能治理的政策方法:人工智能伦理教育的意义

Dayoung Kim;Qin Zhu;Hoda Eldardiry
{"title":"迈向规范性人工智能治理的政策方法:人工智能伦理教育的意义","authors":"Dayoung Kim;Qin Zhu;Hoda Eldardiry","doi":"10.1109/TTS.2024.3430940","DOIUrl":null,"url":null,"abstract":"There has been a trend among various stakeholders for AI governance, such as the government, industry, and academia, that advocates for a shift from traditional ethics approach to more recent policy-oriented approach. This paper starts by briefly introducing the motivation for such a change. To further help AI ethics researchers ground their discussion about how to operationalize abstract AI ethics into actionable policy, it introduces existing literature about AI policy development efforts with ethics focus. We also discuss the implications of the policy approach to normative AI governance for training the next generation of AI professionals. More specifically, this paper introduces two approaches that AI educators can employ to encourage their students to participate in policy discussions and practical exercises in AI-related courses. The insights derived from this paper hold particular significance for AI professionals, educators, and policymakers aiming to translate general AI ethics principles into operationalizable action items with broader policy implications in the design of AI systems.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"5 3","pages":"325-333"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward a Policy Approach to Normative Artificial Intelligence Governance: Implications for AI Ethics Education\",\"authors\":\"Dayoung Kim;Qin Zhu;Hoda Eldardiry\",\"doi\":\"10.1109/TTS.2024.3430940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There has been a trend among various stakeholders for AI governance, such as the government, industry, and academia, that advocates for a shift from traditional ethics approach to more recent policy-oriented approach. This paper starts by briefly introducing the motivation for such a change. To further help AI ethics researchers ground their discussion about how to operationalize abstract AI ethics into actionable policy, it introduces existing literature about AI policy development efforts with ethics focus. We also discuss the implications of the policy approach to normative AI governance for training the next generation of AI professionals. More specifically, this paper introduces two approaches that AI educators can employ to encourage their students to participate in policy discussions and practical exercises in AI-related courses. The insights derived from this paper hold particular significance for AI professionals, educators, and policymakers aiming to translate general AI ethics principles into operationalizable action items with broader policy implications in the design of AI systems.\",\"PeriodicalId\":73324,\"journal\":{\"name\":\"IEEE transactions on technology and society\",\"volume\":\"5 3\",\"pages\":\"325-333\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE transactions on technology and society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10614075/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on technology and society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10614075/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人工智能治理的各利益相关方(如政府、行业和学术界)都有一种趋势,即主张从传统的伦理方法转向最新的政策导向方法。本文首先简要介绍了这种转变的动机。为了进一步帮助人工智能伦理学研究人员讨论如何将抽象的人工智能伦理学可操作化为可执行的政策,本文介绍了有关以伦理学为重点的人工智能政策制定工作的现有文献。我们还讨论了规范性人工智能治理的政策方法对培训下一代人工智能专业人员的影响。更具体地说,本文介绍了人工智能教育工作者可以采用的两种方法,以鼓励学生参与人工智能相关课程的政策讨论和实践练习。本文提出的见解对人工智能专业人士、教育工作者和政策制定者具有特别重要的意义,他们的目标是将一般的人工智能伦理原则转化为可操作的行动项目,在人工智能系统的设计中产生更广泛的政策影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a Policy Approach to Normative Artificial Intelligence Governance: Implications for AI Ethics Education
There has been a trend among various stakeholders for AI governance, such as the government, industry, and academia, that advocates for a shift from traditional ethics approach to more recent policy-oriented approach. This paper starts by briefly introducing the motivation for such a change. To further help AI ethics researchers ground their discussion about how to operationalize abstract AI ethics into actionable policy, it introduces existing literature about AI policy development efforts with ethics focus. We also discuss the implications of the policy approach to normative AI governance for training the next generation of AI professionals. More specifically, this paper introduces two approaches that AI educators can employ to encourage their students to participate in policy discussions and practical exercises in AI-related courses. The insights derived from this paper hold particular significance for AI professionals, educators, and policymakers aiming to translate general AI ethics principles into operationalizable action items with broader policy implications in the design of AI systems.
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
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