{"title":"面部识别技术的原则：美国伦理指导的内容分析","authors":"Heather Elaine Domin, Sondria Miller","doi":"10.3233/hsm-230099","DOIUrl":null,"url":null,"abstract":"BACKGROUND: Facial recognition technology can significantly benefit society if used ethically. Various private sector, government, and civil society groups have created guidance documents to help guide the ethical use of this technology. OBJECTIVE: The study’s objective was to identify the common themes in these ethical guidance documents and determine the prevalence of those themes. METHODS: A qualitative content analysis of 25 facial recognition technology ethical guidance documents published within the United States or by international groups that included representation from the United States. RESULTS: The results show eight themes within the facial recognition technology ethical guidance documents: privacy, responsibility, accuracy and performance, accountability, transparency, lawful use, fairness, and purpose limitation. The most prevalent themes were privacy and responsibility. CONCLUSIONS: By following common ethical recommendations, industry actors can help address the challenges that may arise when seeking to develop, deploy, and use facial recognition technology. The research findings can inform the current debates regarding the ethical use of this technology and might help further the development of ethical norms within the industry.","PeriodicalId":13113,"journal":{"name":"Human systems management","volume":" July","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Principles for facial recognition technology: A content analysis of ethical guidance in the United States\",\"authors\":\"Heather Elaine Domin, Sondria Miller\",\"doi\":\"10.3233/hsm-230099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND: Facial recognition technology can significantly benefit society if used ethically. Various private sector, government, and civil society groups have created guidance documents to help guide the ethical use of this technology. OBJECTIVE: The study’s objective was to identify the common themes in these ethical guidance documents and determine the prevalence of those themes. METHODS: A qualitative content analysis of 25 facial recognition technology ethical guidance documents published within the United States or by international groups that included representation from the United States. RESULTS: The results show eight themes within the facial recognition technology ethical guidance documents: privacy, responsibility, accuracy and performance, accountability, transparency, lawful use, fairness, and purpose limitation. The most prevalent themes were privacy and responsibility. CONCLUSIONS: By following common ethical recommendations, industry actors can help address the challenges that may arise when seeking to develop, deploy, and use facial recognition technology. The research findings can inform the current debates regarding the ethical use of this technology and might help further the development of ethical norms within the industry.\",\"PeriodicalId\":13113,\"journal\":{\"name\":\"Human systems management\",\"volume\":\" July\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human systems management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/hsm-230099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human systems management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/hsm-230099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
Principles for facial recognition technology: A content analysis of ethical guidance in the United States
BACKGROUND: Facial recognition technology can significantly benefit society if used ethically. Various private sector, government, and civil society groups have created guidance documents to help guide the ethical use of this technology. OBJECTIVE: The study’s objective was to identify the common themes in these ethical guidance documents and determine the prevalence of those themes. METHODS: A qualitative content analysis of 25 facial recognition technology ethical guidance documents published within the United States or by international groups that included representation from the United States. RESULTS: The results show eight themes within the facial recognition technology ethical guidance documents: privacy, responsibility, accuracy and performance, accountability, transparency, lawful use, fairness, and purpose limitation. The most prevalent themes were privacy and responsibility. CONCLUSIONS: By following common ethical recommendations, industry actors can help address the challenges that may arise when seeking to develop, deploy, and use facial recognition technology. The research findings can inform the current debates regarding the ethical use of this technology and might help further the development of ethical norms within the industry.
期刊介绍：
Human Systems Management (HSM) is an interdisciplinary, international, refereed journal, offering applicable, scientific insight into reinventing business, civil-society and government organizations, through the sustainable development of high-technology processes and structures. Adhering to the highest civic, ethical and moral ideals, the journal promotes the emerging anthropocentric-sociocentric paradigm of societal human systems, rather than the pervasively mechanistic and organismic or medieval corporatism views of humankind’s recent past. Intentionality and scope Their management autonomy, capability, culture, mastery, processes, purposefulness, skills, structure and technology often determine which human organizations truly are societal systems, while others are not. HSM seeks to help transform human organizations into true societal systems, free of bureaucratic ills, along two essential, inseparable, yet complementary aspects of modern management: a) the management of societal human systems: the mastery, science and technology of management, including self management, striving for strategic, business and functional effectiveness, efficiency and productivity, through high quality and high technology, i.e., the capabilities and competences that only truly societal human systems create and use, and b) the societal human systems management: the enabling of human beings to form creative teams, communities and societies through autonomy, mastery and purposefulness, on both a personal and a collegial level, while catalyzing people’s creative, inventive and innovative potential, as people participate in corporate-, business- and functional-level decisions. Appreciably large is the gulf between the innovative ideas that world-class societal human systems create and use, and what some conventional business journals offer. The latter often pertain to already refuted practices, while outmoded business-school curricula reinforce this problematic situation.
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