{"title":"A Review of How Different Views on Ethics Shape Perceptions of Morality and Responsibility within AI Transformation","authors":"Teresa Hammerschmidt, Alina Hafner, Katharina Stolz, Nina Passlack, Oliver Posegga, Karl-Heinz Gerholz","doi":"10.1007/s10796-025-10596-0","DOIUrl":null,"url":null,"abstract":"<p>This paper examines the evolving dynamics of human-AI interaction, emphasizing the ethical challenges and responsibility gaps that emerge as AI technologies become more autonomous and integrated into society and business. We analyze, utilizing a systematic literature review, how various ethical views influence our understanding of morality and responsibility in human-AI collaborations. Deontological ethics emerge as a dominant theme, with much of the literature centered on ethical principles shaped by powerful nations. The study highlights the need to integrate diverse ethical perspectives into AI research to address contradictions in ethical frameworks across various cultural contexts. While respecting cultural differences, achieving a common ground among these frameworks requires increased dialogue among AI researchers and practitioners. Our findings further underscore the importance of future research in developing a more cohesive understanding of how AI transformation challenges previous assumptions about AI’s role in moral agency and responsibility.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"81 1","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Frontiers","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10796-025-10596-0","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the evolving dynamics of human-AI interaction, emphasizing the ethical challenges and responsibility gaps that emerge as AI technologies become more autonomous and integrated into society and business. We analyze, utilizing a systematic literature review, how various ethical views influence our understanding of morality and responsibility in human-AI collaborations. Deontological ethics emerge as a dominant theme, with much of the literature centered on ethical principles shaped by powerful nations. The study highlights the need to integrate diverse ethical perspectives into AI research to address contradictions in ethical frameworks across various cultural contexts. While respecting cultural differences, achieving a common ground among these frameworks requires increased dialogue among AI researchers and practitioners. Our findings further underscore the importance of future research in developing a more cohesive understanding of how AI transformation challenges previous assumptions about AI’s role in moral agency and responsibility.
期刊介绍:
The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.