Page 109 - WYSS2022 总结册-1

邬贺铨 王怀民
Hequan Wu Huaimin Wang

中国工程院院士 中国科学院院士、之江实验室广域协同计算方向首席科学家
Academician of the Chinese Academy of Engineer Academician of Chinese Academy of Sciences, Chief Scientist
in Wide-area Collaborative Computing at Zhejiang Lab

随着新一轮科技革命和产业变革的加速发展，标准的科技与
产业间的桥梁作用更加显著，在全球创新版图和产业布局深度 如何理解和调控复杂智能软件系统复杂性和适应性？关键在于
调整中成为关键要素。 构建复杂智能软件系统研发平台。
How to understand and regulate the complexity and
As a new round of scientific and technological innovation and
industrial transformation is accelerating, standards are playing adaptability of a complex intelligent software system? The key
a more significant role in bridging science and technology and is to build a complex intelligent software system R&D platform.
industries, and have become a key element in the profound
adjustment of the global innovation landscape and industrial layout.

吴信东 陶大程
Xindong Wu Dacheng Tao

俄罗斯工程院外籍院士、之江实验室人工智能研究院高级研究专家 澳大利亚科学院院士、欧洲科学院外籍院士
Foreign Member of Russian Academy of Engineering, Fellow of Australian Academy of Science,
Research Scientist of the Research Institute Foreign Member of Academia Europaea
of Artificial Intelligent of Zhejiang Lab
可信人工智能标准建设需要找到合适的方法来定量分析、量化
新一代的数据中台技术 , 在融合数据的基础上 , 更需要关心是 人工智能算法、模型、系统的稳定性、可解释性、隐私保护能
否能够很好地沉淀行业知识。 力及公平性。

The new-generation data middle platform technology needs to The development of accredited AI standards requires
focus more on a better accumulation of industry knowledge on applicable methods for quantitative analysis, and quantification
the basis of data integration. of AI algorithm, model, system stability, explainability, privacy
protection capacity, fairness, etc.

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