摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者来自英国普利莫乌斯的新闻报道，研究称，"负责任的人工智能(RAI)强调使用实施问责、责任和透明度的道德框架来解决国防部对人工智能(AI)技术的忠诚和使用方面的担忧，包括隐私、自主、自决、偏见。考虑到这些因素，我们正在制定标准来指导人工智能的支持和实施。我们的新闻编辑从普利莫大学的研究中获得了引用，本综述的目的是提供关于RAI原则实施以及人工智能系统内伦理问题发生和解决的当前研究证据和知识差距的概述。提出了系统综述和荟萃分析首选报告项目的范围综述(PRISMA-ScR)指南。PubMed,ERIC,Scopus,IEE Xplore,EBSCO,Web of Science,ACM Digital Library,和ProQuest（艺术和人文）将系统搜索2013年SINC E发表的研究人工智能中的RAI原则和伦理问题的文章。资格评估将独立进行，编码数据将按主题进行分析，并在特定学科的文献中分层。结果将包括在全面范围审查中。预计将于2024年6月开始，并于2024年底完成提交出版物。本范围界定审查将总结证据状况，概述其影响，以及实施RAI原则的研究的优势、劣势和差距。审查还可能揭示特定学科的关注点、优先事项和针对这些关注的解决方案。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Plymo uth, United Kingdom, by NewsRx correspondents, research stated, "Responsible art ificial intelligence (RAI) emphasizes the use of ethical frameworks implementing accountability, responsibility, and transparency to address concerns in the dep loyment and use of artificial intelligence (AI) technologies, including privacy, autonomy, self-determination, bias, and transparency. Standards are under devel opment to guide the support and implementation of AI given these considerations. " Our news editors obtained a quote from the research from the University of Plymo uth, "The purpose of this review is to provide an overview of current research e vidence and knowledge gaps regarding the implementation of RAI principles and th e occurrence and resolution of ethical issues within AI systems. A scoping revie w following Preferred Reporting Items for Systematic Reviews and Meta-Analyses E xtension 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 sinc e 2013 that examine RAI principles and ethical concerns within AI. Eligibility a ssessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature. The results will be included in the full scoping review, which is expected to start in June 2024 an d completed for the submission of publication by the end of 2024. This scoping r eview will summarize the state of evidence and provide an overview of its impact , as well as strengths, weaknesses, and gaps in research implementing RAI princi ples. The review may also reveal discipline-specific concerns, priorities, and p roposed solutions to the concerns."
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