{"title":"数字世界中负责任的响应组织的数据伦理框架","authors":"Inbal Marcovitch, E. Rancourt","doi":"10.3233/sji-220067","DOIUrl":null,"url":null,"abstract":"Data are an integral part of the normative world and therefore ethics. With the advent of big data and data science, increased attention has been given to the ethics of artificial intelligence. However, data ethics is broader than that and must now be considered on its own as a field of ethics. In this paper, we make the case for the importance of data ethics and propose a general framework to support organizations in adopting ethical data practices. We provide the examples of statistics and standards as two contexts within which data ethics can be advanced and where advancements have already been made.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A data ethics framework for responsible responsive organizations in the digital world\",\"authors\":\"Inbal Marcovitch, E. Rancourt\",\"doi\":\"10.3233/sji-220067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data are an integral part of the normative world and therefore ethics. With the advent of big data and data science, increased attention has been given to the ethics of artificial intelligence. However, data ethics is broader than that and must now be considered on its own as a field of ethics. In this paper, we make the case for the importance of data ethics and propose a general framework to support organizations in adopting ethical data practices. We provide the examples of statistics and standards as two contexts within which data ethics can be advanced and where advancements have already been made.\",\"PeriodicalId\":55877,\"journal\":{\"name\":\"Statistical Journal of the IAOS\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Journal of the IAOS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/sji-220067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Journal of the IAOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/sji-220067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
A data ethics framework for responsible responsive organizations in the digital world
Data are an integral part of the normative world and therefore ethics. With the advent of big data and data science, increased attention has been given to the ethics of artificial intelligence. However, data ethics is broader than that and must now be considered on its own as a field of ethics. In this paper, we make the case for the importance of data ethics and propose a general framework to support organizations in adopting ethical data practices. We provide the examples of statistics and standards as two contexts within which data ethics can be advanced and where advancements have already been made.
期刊介绍:
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.