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作 者:罗鹏 Luo Peng
机构地区:[1]中共江苏省委党校公共管理教研部
出 处:《中国人事科学》2022年第9期15-24,共10页Chinese Personnel Science
摘 要:公共部门绩效管理是提高公共部门运行效率的重要环节。在人工智能背景下,智能技术对公共部门绩效管理的嵌入已成为公共部门绩效管理创新的新趋势,这种嵌入在绩效管理中体现为公共部门绩效管理专用人工智能的形成与应用。在实践中,人工智能可以丰富公共部门绩效管理的内容并拓宽其时间范围,适应当下公共部门绩效管理环境的复杂性,助力构建智能驱动的绩效模板、绩效目标与评价指标,推动形成敏捷绩效管理模式,并提高公共部门绩效评估的针对性与精准性。但人工智能的算法黑箱机制与算法漏洞,技术生产与技术使用的分离,其与已有绩效管理体系的兼容困难,构成了公共部门绩效管理的新挑战。针对新挑战,公共部门应构建适应人工智能的绩效管理机制,实现人机协同与部门间数据协同,构建数据风险控制系统,并实现人工智能算法透明化。Performance management is an important part in improving the operational effi ciency of the public sector.In the context of the development of artifi cial intelligence,the embedding of intelligent technology into performance management in the public sector has become a new innovative trend in the public sector.Such phenomenon is refl ected in the formation and application of dedicated artificial intelligence for performance management in the public sector.In practice,artifi cial intelligence can broaden the content and time range of performance management in the public sector,adapt to nowadays’complex environment for performance management in the public sector,help build an intelligence-driven performance template,performance objectives,and evaluation indexes,promote the formation of an agile performance management model,and improve the pertinence and accuracy of performance evaluation in the public sector.However,performance management in the public sector is also faced with a number of new challenges,namely,the algorithm black box mechanism and algorithm loopholes of artifi cial intelligence,the separation of technology production and technology use,and the difficulty of compatibility with the existing performance management system.Given the new challenges,public departments should build a performance management mechanism that adapts to artifi cial intelligence,realize human-machine collaboration and inter-department data collaboration,build a data risk control system,and achieve the transparency of artifi cial intelligence algorithms.
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