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人工智能标准化用于智能系统的开发和使用

叶夫 根尼
新西伯利亚“自然信息学”研究中心研究部

摘要


标准是确定要求、规范、指南或特性的文件,根据这些要求、规范、指南或特性,可以使用适合这些目的的材料、
产品、工艺和服务。ISO 拥有超过 21,000 个国际标准,涵盖技术和业务的各个方面。人工智能的标准化建议从概念开始。
人工智能的标准可以定义如下。人工智能是开发和创建人类智能数字孪生的技术和软件认知复合体的科学应用方向,能够在
偏好标准的基础上学习、再培训、自我实现和发展,并通过质量选择和掌握创造性创新高科技人工智能来改善功能活动,正
在制定路线图。人工智能标准化的主要任务是,首先是术语的统一和标准化,确保人工智能系统的互操作性,确保人工智能
方法和算法领域的方法论连续性,提高创建人工智能系统的集体工作的有效性。其次,消除与个人数据处理相关的监管障碍。
第三,确认人工智能系统在一定操作条件下行为可预测性的程序标准化,确认人工智能系统运行安全性的程序标准化。第四,
统一人工智能系统的质量特征,旨在解决具体的应用问题。第五,规范人工智能技术平台要求,开发智能系统和技术开发和
使用的标准人工智能案例。人工智能技术已经足够成熟,可以将它们标准化。没有它,行业就无法正常发展,国家和社会的
利益就得不到保护。美国、中国、其他国家和国际组织已开始朝这个方向积极努力。人工智能的标准化将有助于找到人工智
能造福人类而不是伤害的界限。

关键词


标准化;强大的人工智能;智能系统的安全性;道德方面

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参考


[1] ISO/IEC Directives, Part 2, Rules for the structure and

drafting of International Standards, 2004

[2] B. Du Boulay. "Artificial Intelligence as an Effective Classroom Assistant". IEEE Intelligent Systems, V 31, p. 76-81. 2016.[3] M. R. Sumner, B. J. Newendorp and R. M. Orr. "Structured dictation using intelligent automated assistants". N

US 9,865,280, 2018. [4] S. Hong. "Artificial intelligence audio apparatus and

operation method thereof". N US 9,948,764, Available at: https://patents.google.com/patent/US20150120618A1/en. 2018. [5] Evgeniy Bryndin. Digital technologies of the industry

4.0. Chepter 10, С. 201-222, Book: Computer Science Advances: Research and Applications. Nova Science Publisher. 2019. 252 с. [6] Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart

Factories. International Journal of Management and Fuzzy

Systems. V. 3, N. 5, 2017, pp 57-66. [7] Evgeniy Bryndin. Collaboration of Intelligent

Interoperable Agents via Smart Interface. International Journal on Data Science and Technology, Vol. 5, № 4. 2019. Pages: 66-72.[8] Evgeniy Bryndin. Social Cognitive Smart Robots: Guide, Seller, Lecturer, Vacuum Cleaner, Nurse, Volunteer, Security Guard, Administrator. Communications. V. 7, Issue 1.

2019. P. 6-12. [9] Evgeniy Bryndin. Human Digital Doubles with

Technological Cognitive Thinking and Adaptive Behaviour. Software Engineering, Volume 7, Issue 1, 2019. P. 1-9. [10] Frank Chen, “AI, Deep Learning, and Machine Learning: A Primer,” Andreessen Horowitz, June 10, 2016, http://a16z.com/2016/06/10/ai-deep-learning-machines. [11] Evgeniy Bryndin. Robots for Communication in Public in High-Tech Industry Life and Space. Frontiers Journal of Current Engineering Research. Vol. 1, Issue 1, 2019. P. 1-10. [12] Evgeniy Bryndin. Mainstreaming technological

development of industrial production based on artificial

intelligence. COJ Technical & Scientific Research, 2 (3). 2019. P. 1-5.[13] Evgeniy Bryndin. Robots with Artificial Intelligence

and Spectroscopic Sight in Hi-Tech Labor Market. International

Journal of Systems Science and Applied Mathematic, Vol. 4, №

3, 2019. Pages: 31-37. [14] Evgeniy Bryndin. Increased Sensitivity and Safety of

Cognitive Robot by Development of Professional and

Behavioral Skills. International Journal of Research in Engineering. Volume-2, Issue-1, 2020. Pages: 14-21. [15] Evgeniy Bryndin. Collaboration Robots with

Artificial Intelligence as Digital Doubles of Person for Communication in Public Life and Space. Budapest

International Research in Exact Sciences (BirEx-Journal), Volume 1, No. 4, 2019. P: 1-11. [16] Evgeniy Bryndin Formation Smart Data Science for Automated Analytics of Modeling of Scientific Experiments. American Journal of Software Engineering and Applications. Vol. 8, Issue 2, 2019. P. 36-43. [17] AI white paper editing committee of Information Technology Promotion Agency, Japan. "Artificial Intelligence White Paper" (in Japanese). Kadokawa Ascii Research

Laboratories, Inc, 2017. [18] Evgeniy Bryndin. Development of Artificial

Intelligence by Ensembles of Virtual Agents on Technological

Platforms. COJ Technical & Scientific Research. 2 (4). 2020. Pages: 1-8. [19] Evgeniy Bryndin. Practical Development of Creative LifeSaving Strong Artificial Intelligence. Communications, Volume. 7, Issue 2, 2019. Pages: 31-39. [20] Preparing for the Future of Artificial Intelligence, Executive Office of the President, National Science and

Technology Council Committee on Technology, October 2016. [21] Evgeniy Bryndin. Transformation Modeling of

Nanostructures by Cognitive Systems according to Big Smart

Data. Chepter 3, P. 21-28. Book “New Materials: Preparation, Properties and Applications in the Aspect of Nanotechnology”. USA: Nova Science Publisher. 2020. 250 p. [22] Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram

Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin LeytonBrown, David Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller. "Artificial Intelligence and

Life in 2030." One Hundred Year Study on Artificial

Intelligence: Report of the 2015-2016 Study Panel, Stanford

University, Stanford, CA, September 2016. Doc: http://ai100.stanford.edu/2016-report. [23] Evgeniy Bryndin. Formation and Management of

Industry 5.0 by Systems with Artificial Intelligence and

Technological Singularity. American Journal of Mechanical and

Industrial Engineering. Volume 5, Issue 2. 2020. pp. 24-30. [24] Evgeniy Bryndin. Increase of Safety Use Robots in

Industry 4.0 by Developing Sensitivity and Professional

Behavioral Skills. American Journal of Mechanical and

Industrial Engineering. Volume 5, Issue 1, 2020. Pages: 6-14. [25] Evgeniy Bryndin. Formation of Technological

Cognitive Reason with Artificial Intelligence in Virtual Space. Britain International of Exact Sciences Journal, 2 No. 2, 2020. P. 450-461. [26] ISO/IEC JTC 1/SC 42/WG 4 Use cases and

applications Convenorship: JISC (Japan). 2019-12-23. https://isotc.iso.org/livelink/livelink/open/jtc1sc42wg4.




DOI: http://dx.doi.org/10.12361/2661-3727-04-12-130326

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