PDF(Pubmed)
Abstract：
BACKGROUND: Responsible artificial intelligence (RAI) emphasizes the use of ethical frameworks implementing accountability, responsibility, and transparency to address concerns in the deployment and use of artificial intelligence (AI) technologies, including privacy, autonomy, self-determination, bias, and transparency. Standards are under development to guide the support and implementation of AI given these considerations.
OBJECTIVE: The purpose of this review is to provide an overview of current research evidence and knowledge gaps regarding the implementation of RAI principles and the occurrence and resolution of ethical issues within AI systems.
METHODS: A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines was proposed. PubMed, ERIC, Scopus, IEEE Xplore, EBSCO, Web of Science, ACM Digital Library, and ProQuest (Arts and Humanities) will be systematically searched for articles published since 2013 that examine RAI principles and ethical concerns within AI. Eligibility assessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature.
RESULTS: The results will be included in the full scoping review, which is expected to start in June 2024 and completed for the submission of publication by the end of 2024.
CONCLUSIONS: This scoping review will summarize the state of evidence and provide an overview of its impact, as well as strengths, weaknesses, and gaps in research implementing RAI principles. The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future regulatory options available, connecting theoretical aspects of ethical requirements for principles with practical solutions.
UNASSIGNED: PRR1-10.2196/52349.
OBJECTIVE: The purpose of this review is to provide an overview of current research evidence and knowledge gaps regarding the implementation of RAI principles and the occurrence and resolution of ethical issues within AI systems.
METHODS: A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines was proposed. PubMed, ERIC, Scopus, IEEE Xplore, EBSCO, Web of Science, ACM Digital Library, and ProQuest (Arts and Humanities) will be systematically searched for articles published since 2013 that examine RAI principles and ethical concerns within AI. Eligibility assessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature.
RESULTS: The results will be included in the full scoping review, which is expected to start in June 2024 and completed for the submission of publication by the end of 2024.
CONCLUSIONS: This scoping review will summarize the state of evidence and provide an overview of its impact, as well as strengths, weaknesses, and gaps in research implementing RAI principles. The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future regulatory options available, connecting theoretical aspects of ethical requirements for principles with practical solutions.
UNASSIGNED: PRR1-10.2196/52349.
摘要：
背景：负责任的人工智能（RAI）强调使用实施问责制的道德框架，责任,和透明度，以解决部署和使用人工智能（AI）技术的问题，包括隐私,自主性,自决,偏见，和透明度。鉴于这些考虑，正在制定标准来指导人工智能的支持和实施。
目的：本综述的目的是提供有关RAI原则的实施以及AI系统中道德问题的发生和解决的当前研究证据和知识差距的概述。
方法：提出了针对系统评论的首选报告项目和针对范围审查的Meta分析扩展（PRISMA-ScR）指南的范围审查。PubMed,ERIC,Scopus,IEEEXplore,EBSCO,WebofScience,ACM数字图书馆,将系统地搜索自2013年以来发表的文章，以研究AI中的RAI原则和道德问题。资格评估将独立进行，编码数据将按照主题进行分析，并跨特定学科的文献进行分层。
结果：结果将包含在完整的范围审查中，预计将于2024年6月开始，并在2024年底前完成出版物的提交。
结论：本范围审查将总结证据的状态，并提供其影响的概述，以及优势，弱点,以及实施RAI原则的研究差距。审查还可能揭示特定学科的担忧，优先事项,并提出了解决这些问题的方法。因此，它将确定应成为未来可用监管选择重点的优先领域，将原则的伦理要求的理论方面与实际解决方案联系起来。
■PRR1-10.2196/52349。
目的：本综述的目的是提供有关RAI原则的实施以及AI系统中道德问题的发生和解决的当前研究证据和知识差距的概述。
方法：提出了针对系统评论的首选报告项目和针对范围审查的Meta分析扩展（PRISMA-ScR）指南的范围审查。PubMed,ERIC,Scopus,IEEEXplore,EBSCO,WebofScience,ACM数字图书馆,将系统地搜索自2013年以来发表的文章，以研究AI中的RAI原则和道德问题。资格评估将独立进行，编码数据将按照主题进行分析，并跨特定学科的文献进行分层。
结果：结果将包含在完整的范围审查中，预计将于2024年6月开始，并在2024年底前完成出版物的提交。
结论：本范围审查将总结证据的状态，并提供其影响的概述，以及优势，弱点,以及实施RAI原则的研究差距。审查还可能揭示特定学科的担忧，优先事项,并提出了解决这些问题的方法。因此，它将确定应成为未来可用监管选择重点的优先领域，将原则的伦理要求的理论方面与实际解决方案联系起来。
■PRR1-10.2196/52349。
