Minimum Viable Ethics: From Institutionalizing Industry AI Governance to Product Impact

Archana Ahlawat, Amy Winecoff, Jonathan Mayer
{"title":"Minimum Viable Ethics: From Institutionalizing Industry AI Governance to Product Impact","authors":"Archana Ahlawat, Amy Winecoff, Jonathan Mayer","doi":"arxiv-2409.06926","DOIUrl":null,"url":null,"abstract":"Across the technology industry, many companies have expressed their\ncommitments to AI ethics and created dedicated roles responsible for\ntranslating high-level ethics principles into product. Yet it is unclear how\neffective this has been in leading to meaningful product changes. Through\nsemi-structured interviews with 26 professionals working on AI ethics in\nindustry, we uncover challenges and strategies of institutionalizing ethics\nwork along with translation into product impact. We ultimately find that AI\nethics professionals are highly agile and opportunistic, as they attempt to\ncreate standardized and reusable processes and tools in a corporate environment\nin which they have little traditional power. In negotiations with product\nteams, they face challenges rooted in their lack of authority and ownership\nover product, but can push forward ethics work by leveraging narratives of\nregulatory response and ethics as product quality assurance. However, this\nstrategy leaves us with a minimum viable ethics, a narrowly scoped industry AI\nethics that is limited in its capacity to address normative issues separate\nfrom compliance or product quality. Potential future regulation may help bridge\nthis gap.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06926","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

Across the technology industry, many companies have expressed their commitments to AI ethics and created dedicated roles responsible for translating high-level ethics principles into product. Yet it is unclear how effective this has been in leading to meaningful product changes. Through semi-structured interviews with 26 professionals working on AI ethics in industry, we uncover challenges and strategies of institutionalizing ethics work along with translation into product impact. We ultimately find that AI ethics professionals are highly agile and opportunistic, as they attempt to create standardized and reusable processes and tools in a corporate environment in which they have little traditional power. In negotiations with product teams, they face challenges rooted in their lack of authority and ownership over product, but can push forward ethics work by leveraging narratives of regulatory response and ethics as product quality assurance. However, this strategy leaves us with a minimum viable ethics, a narrowly scoped industry AI ethics that is limited in its capacity to address normative issues separate from compliance or product quality. Potential future regulation may help bridge this gap.
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
最低可行伦理:从行业人工智能治理制度化到产品影响力
在整个技术行业,许多公司都表达了对人工智能伦理的承诺,并设立了专门的职位,负责将高层次的伦理原则转化为产品。然而,目前还不清楚这种做法在促成有意义的产品变革方面有多大成效。通过对行业内 26 位从事人工智能伦理工作的专业人士进行半结构化访谈,我们发现了将伦理工作制度化并转化为产品影响所面临的挑战和策略。我们最终发现,人工智能伦理专业人员具有高度的灵活性和机会主义,因为他们试图在传统权力很小的企业环境中创建标准化和可重复使用的流程和工具。在与产品团队的谈判中,他们面临着因缺乏对产品的权威和所有权而带来的挑战,但他们可以通过利用监管响应和伦理作为产品质量保证的叙事来推进伦理工作。然而,这种策略给我们留下了最低限度的伦理,即范围狭窄的行业伦理,其解决与合规或产品质量无关的规范性问题的能力有限。未来的潜在法规可能有助于弥补这一差距。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Equimetrics -- Applying HAR principles to equestrian activities AI paintings vs. Human Paintings? Deciphering Public Interactions and Perceptions towards AI-Generated Paintings on TikTok From Data Stories to Dialogues: A Randomised Controlled Trial of Generative AI Agents and Data Storytelling in Enhancing Data Visualisation Comprehension Exploring Gaze Pattern in Autistic Children: Clustering, Visualization, and Prediction Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing
×
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