Linda Alkire, Anil Bilgihan, My (Myla) Bui, Alexander John Buoye, Seden Dogan, Seoyoung Kim
{"title":"RAISE:利用负责任的人工智能提供卓越服务","authors":"Linda Alkire, Anil Bilgihan, My (Myla) Bui, Alexander John Buoye, Seden Dogan, Seoyoung Kim","doi":"10.1108/josm-11-2023-0448","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This article introduces the Responsible AI for Service Excellence (RAISE) framework. RAISE is a strategic framework for responsibly integrating AI into service industries. It emphasizes collaborative AI design and deployment that aligns with the evolving global standards and societal well-being while promoting business success and sustainable development.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>This multidisciplinary conceptual article draws upon the United Nations' Sustainable Development Goals (SDGs) and AI ethics guidelines to lay out three principles for practicing RAISE: (1) Embrace AI to serve the greater good, (2) Design and deploy responsible AI and (3) Practice transformative collaboration with different service organizations to implement responsible AI.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>By acknowledging the potential risks and challenges associated with AI usage, this article provides practical recommendations for service entities (i.e. service organizations, policymakers, AI developers, customers and researchers) to strengthen their commitment to responsible and sustainable service practices.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This is the first service research article to discuss and provide specific practices for leveraging responsible AI for service excellence.</p><!--/ Abstract__block -->","PeriodicalId":48089,"journal":{"name":"Journal of Service Management","volume":"6 1","pages":""},"PeriodicalIF":7.8000,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RAISE: leveraging responsible AI for service excellence\",\"authors\":\"Linda Alkire, Anil Bilgihan, My (Myla) Bui, Alexander John Buoye, Seden Dogan, Seoyoung Kim\",\"doi\":\"10.1108/josm-11-2023-0448\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>This article introduces the Responsible AI for Service Excellence (RAISE) framework. RAISE is a strategic framework for responsibly integrating AI into service industries. It emphasizes collaborative AI design and deployment that aligns with the evolving global standards and societal well-being while promoting business success and sustainable development.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>This multidisciplinary conceptual article draws upon the United Nations' Sustainable Development Goals (SDGs) and AI ethics guidelines to lay out three principles for practicing RAISE: (1) Embrace AI to serve the greater good, (2) Design and deploy responsible AI and (3) Practice transformative collaboration with different service organizations to implement responsible AI.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>By acknowledging the potential risks and challenges associated with AI usage, this article provides practical recommendations for service entities (i.e. service organizations, policymakers, AI developers, customers and researchers) to strengthen their commitment to responsible and sustainable service practices.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>This is the first service research article to discuss and provide specific practices for leveraging responsible AI for service excellence.</p><!--/ Abstract__block -->\",\"PeriodicalId\":48089,\"journal\":{\"name\":\"Journal of Service Management\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2024-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Service Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/josm-11-2023-0448\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Service Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/josm-11-2023-0448","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
RAISE: leveraging responsible AI for service excellence
Purpose
This article introduces the Responsible AI for Service Excellence (RAISE) framework. RAISE is a strategic framework for responsibly integrating AI into service industries. It emphasizes collaborative AI design and deployment that aligns with the evolving global standards and societal well-being while promoting business success and sustainable development.
Design/methodology/approach
This multidisciplinary conceptual article draws upon the United Nations' Sustainable Development Goals (SDGs) and AI ethics guidelines to lay out three principles for practicing RAISE: (1) Embrace AI to serve the greater good, (2) Design and deploy responsible AI and (3) Practice transformative collaboration with different service organizations to implement responsible AI.
Findings
By acknowledging the potential risks and challenges associated with AI usage, this article provides practical recommendations for service entities (i.e. service organizations, policymakers, AI developers, customers and researchers) to strengthen their commitment to responsible and sustainable service practices.
Originality/value
This is the first service research article to discuss and provide specific practices for leveraging responsible AI for service excellence.
期刊介绍:
The Journal of Service Management (JOSM) centers its scope on research in service management. It disseminates papers showcasing distinctive and noteworthy contributions to service literature, serving as a communication platform for individuals in the service management field, transcending disciplines, functional areas, sectors, and nationalities. The journal publishes double-blind reviewed papers emphasizing service literature/theory and its practical applications.