Volume 6, Issue 1, June 2020, Page: 1-9
Standardization of Artificial Intelligence for the Development and Use of Intelligent Systems
Evgeniy Bryndin Russia, Research Department, Research Center "Natural Informatics", Novosibirsk, Russia
Received: Jul. 29, 2020;       Accepted: Aug. 12, 2020;       Published: Aug. 27, 2020
DOI: 10.11648/j.awcn.20200601.11      View  166      Downloads  25
Abstract
Standard is document that establishes the requirements, specifications, guidelines or characteristics according to which materials, products, processes and services that are suitable for these purposes can be used. ISO has more than 21,000 international standards covering aspects of technology and business. Standardization of artificial intelligence is advisable to start with concepts. The standard of artificial intelligence can be defined as follows. Artificial intelligence is a scientific applied direction for the development and creation of technological and software cognitive complexes of the digital twin of human intelligence, capable of learning, retraining, self-realization and development on the basis of the criterion of preferences and to improve functional activities by quality choice and mastering creative innovative high-tech artificial intelligence, a roadmap is being developed. The main tasks of standardization of artificial intelligence are, firstly, the unification and standardization of terminology, ensuring the interoperability of artificial intelligence systems, ensuring methodological continuity in the field of artificial intelligence methods and algorithms, and improving the effectiveness of collective work on creating artificial intelligence systems. Secondly, the removal of regulatory barriers related to the processing of personal data. Thirdly, standardization of procedures for confirming the predictability of the behavior of the artificial intelligence system under certain operating conditions, standardization of procedures for confirming the safety of the functioning of the artificial intelligence system. Fourth, unification of quality characteristics of artificial intelligence systems aimed at solving specific application problems. Fifth, standardization of requirements for technology platforms with artificial intelligence, development of standard artificial intelligence cases for the development and use of intelligent systems and technologies. Artificial intelligence technologies are already ripe enough to standardize them. Without it, the industry will not be able to develop normally, the interests of the state and society will not be protected. The United States, China, other countries and international organizations have begun active work in this direction. Standardization of artificial intelligence will help to find boundaries in which artificial intelligence will benefit humanity and not harm.
Keywords
Standardization, Strong Artificial Intelligence, Security of Intelligent Systems, Ethical Aspects
To cite this article
Evgeniy Bryndin Russia, Standardization of Artificial Intelligence for the Development and Use of Intelligent Systems, Advances in Wireless Communications and Networks. Vol. 6, No. 1, 2020, pp. 1-9. doi: 10.11648/j.awcn.20200601.11
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[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 Life-Saving 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 Leyton-Brown, 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.
Browse journals by subject