{"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.