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IUCRC Planning Grant Rutgers University: Center for Standards and Ethics in Artificial Intelligence (CSEAI)

IUCRC Planning Grant Rutgers University: Center for Standards and Ethics in Artificial Intelligence (CSEAI)
IUCRC 规划拨款 罗格斯大学:人工智能标准与道德中心 (CSEAI)
批准号:
2137245
负责人:
Jorge Ortiz
金额:
$2.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-03-01 至 2023-07-31

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中文摘要
翻译
在过去的20年里,几乎每个行业都出现了前所未有的人工智能技术增长。最近,人们强调确保使用或生产人工智能技术的行业和政府机构有社会责任保护消费者,提高产品和服务的可信度。因此,监管机构正在为全球范围内的人工智能(AI)道德制定标准。人工智能标准与道德中心(CSEAI)旨在通过研究、推广和教育,为行业和政府提供必要的资源,以采用和有效实施人工智能领域的标准和道德实践。CSEAI的使命是与行业和政府研究合作伙伴密切合作,研究能够设计、实施和采用安全、有效和符合道德的人工智能标准的人工智能协议、程序和技术。CSEAI教师的各种人工智能技能使该中心能够应对与负责任、公平、可跟踪、可靠和可管理的人工智能驱动技术开发相关的各种基础研究挑战。例如,罗格斯大学的中心网站将研究深度感知环境和网络物理系统的可理解模型解释,传感应用程序的隐私感知学习,以及非凸问题的联合学习。CSEAI将帮助使用或生产人工智能技术的行业和政府组织为消费者和用户提供标准化、道德的产品安全,帮助公众重新获得对人工智能技术的信任和信心。该中心将招聘、培训和指导来自不同背景的本科生、研究生和博士后,激励他们从事人工智能伦理方面的职业生涯,并培养出一支接受标准化和伦理培训的多元化劳动力队伍。该中心将发布特定的道德评估工具,人工智能最佳实践将通过出版物、会议演示文稿和CSEAI暑期学校获得许可或提供给不同的利益相关者。这既是一个可公开访问的存储库,也是一个安全的仅限成员使用的存储库(包括会议材料、研讨会信息、研究主题和详细信息、出版物等)。将在贝勒大学现场维护和/或通过政府/国防部批准的云服务进行维护。在允许的情况下,CSEAI将使用单一的公共和安全储存库,以促进不同站点之间的努力和信息的连续性。在该中心的整个生命周期内,该资料库将可通过贝勒大学的公开网址访问,并在不再维护后转移到存档服务。该奖项反映了https://cseai.center,的法定使命,并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The last twenty years have seen an unprecedented growth of AI-enabled technologies in practically every industry. More recently, an emphasis has been placed on ensuring industry and government agencies that use or produce AI-enabled technology have a social responsibility to protect consumers and increase trustworthiness in products and services. As a result, regulatory groups are producing standards for artificial intelligence (AI) ethics worldwide. The Center for Standards and Ethics in Artificial Intelligence (CSEAI) aims to provide industry and government the necessary resources for adopting and efficiently implementing standards and ethical practices in AI through research, outreach, and education. CSEAI’s mission is to work closely with industry and government research partners to study AI protocols, procedures, and technologies that enable the design, implementation, and adoption of safe, effective, and ethical AI standards. The varied AI skillsets of CSEAI faculty enable the center to address various fundamental research challenges associated with the responsible, equitable, traceable, reliable, and governable development of AI-fueled technologies. For example, the center site at Rutgers University will examine intelligible model explanations for deeply sensed environments and cyber-physical systems, privacy-aware learning for sensing applications, and federated learning for nonconvex problems.The CSEAI will help industry and government organizations that use or produce AI technology to provide standardized, ethical products safe for consumers and users, helping the public regain trust and confidence in AI technology. The center will recruit, train, and mentor undergraduates, graduate students, and postdocs from diverse backgrounds, motivating them to pursue careers in AI ethics and producing a diverse workforce trained in standardized and ethical AI. The center will release specific ethics assessment tools, and AI best practices will be licensed or made available to various stakeholders through publications, conference presentations, and the CSEAI summer school.Both a publicly accessible repository and a secured members-only repository (comprising meeting materials, workshop information, research topics and details, publications, etc.) will be maintained either on-site at Baylor University and/or on a government/DoD-approved cloud service. A single public and secured repository will be used for CSEAI, where permissible, to facilitate continuity of efforts and information between the different sites. This repository will be accessible at a publicly listed URL at Baylor University, https://cseai.center, for the lifetime of the center and moved to an archiving service once no longer maintained.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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