Software Engineering

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Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments

Received: 22 March 2021    Accepted: 6 April 2021    Published: 16 April 2021
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Abstract

Smart artificial intelligence has psychological, analytical, research, language, professional and behavioral competencies. Its psychological competencies are communication, self-regulation, adaptability during changes, motivation, empathy - identifying the needs of the environment. Psychological competence determines his psychological intelligence - the ability to adequately use his own capabilities, the ability to find solutions and choose adequate ways of communication. Ethical competencies of intelligent artificial intelligence are determined by ethical standards. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. The use of an ensemble with smart ethical artificial intelligence in various environments is carried out by synergistic tuning of the interaction of intelligent agents based on data of specific environment obtained by an analytical competent intellectual agent. The interaction of the analytical competent intellectual agent with the environment is carried out through the smart interface of the ensemble. Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from a fear of artificial intelligence towards designing machines that embed our cherished values in them. Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines.

DOI 10.11648/j.se.20200804.11
Published in Software Engineering (Volume 8, Issue 4, December 2020)
Page(s) 24-33
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Smart Ethical Artificial Intelligence, Competencies, Functional Image, Intelligent Agents, Environment

References
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[2] Evgeniy Bryndin. Formation of Technological Cognitive Reason with Artificial Intelligence in Virtual Space. Britain International of Exact Sciences Journal, Volume 2, Issue 2, May 2020. pp: 450-461.
[3] Evgeniy Bryndin. Creative communication safe ethical artificial intelligence in the era of technological development. Software Engineering. Volume. 8, Issue 3, 2020. pp. 13-23.
[4] Evgeny Bryndin. Formation of International Ethical Digital Environment with Smart Artificial Intelligence. Automation, Control and Intelligent Systems. Volume 9, Issue 1, 2021, pp. 27-38.
[5] Evgeniy Bryndin. Collaboration of Intelligent Interoperable Agents via Smart Interface. International Journal on Data Science and Technology, Vol. 5, № 4. 2019. Pages: 66-72.
[6] Evgeniy Bryndin. Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Automation, Control and Intelligent Systems. Vol. 8, Issue 4, 2020, pp. 29-37.
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[8] Evgeniy Bryndin. Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market. International Journal of Systems Science and Applied Mathematic, V. 4, № 3, 2019. Pages: 31-37.
[9] Soumya Baneree. A framework for designing compassionate and ethical artificial intelligence and artificial consciousness. Interdisciplinary Description of Complex Systems 18 (2-A). June 2018.
[10] Yingxu Wang. How Will Autonomous Systems and Cognitive Robots Augment Human Intelligence? The 2020 Future Technologies Conference (FTC’20), Vancouver, Canada, Nov. 5-6, 2020.
[11] Georgios Th. Papadopoulos, Margherita Antona, Constantine Stephanidis. Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning. Computer Science. December, 2020.
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[13] Tielin Zhang, Yi Zeng, Ruihan Pan, Mengting Shi, Enmeng Lu. Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. Cognitive Computation volume 13, pages 381–393 (2021).
[14] Yingxu Wang. Emerging Technologies for Autonomous Behavior Generation at Run-Time by Cognitive Robots. Int’l Conf. on Robot Intelligence Technologies and Applications (RITA’21), Porto, Portugal, Sept. 21, 2021.
[15] Kishore Sugali, Chris Sprunger, Venkata N Inukollu. SOFTWARE TESTING: ISSUES AND CHALLENGES OF A RTIFICIAL INTELLIGENCE & MACHINE L EARNING. International Journal of Artificial Intelligence and Applications (IJAIA), Vol. 12, No. 1, January 2021
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[17] 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.
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Cite This Article
  • APA Style

    Evgeny Bryndin. (2021). Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments. Software Engineering, 8(4), 24-33. https://doi.org/10.11648/j.se.20200804.11

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    ACS Style

    Evgeny Bryndin. Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments. Softw. Eng. 2021, 8(4), 24-33. doi: 10.11648/j.se.20200804.11

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    AMA Style

    Evgeny Bryndin. Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments. Softw Eng. 2021;8(4):24-33. doi: 10.11648/j.se.20200804.11

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  • @article{10.11648/j.se.20200804.11,
      author = {Evgeny Bryndin},
      title = {Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments},
      journal = {Software Engineering},
      volume = {8},
      number = {4},
      pages = {24-33},
      doi = {10.11648/j.se.20200804.11},
      url = {https://doi.org/10.11648/j.se.20200804.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20200804.11},
      abstract = {Smart artificial intelligence has psychological, analytical, research, language, professional and behavioral competencies. Its psychological competencies are communication, self-regulation, adaptability during changes, motivation, empathy - identifying the needs of the environment. Psychological competence determines his psychological intelligence - the ability to adequately use his own capabilities, the ability to find solutions and choose adequate ways of communication. Ethical competencies of intelligent artificial intelligence are determined by ethical standards. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. The use of an ensemble with smart ethical artificial intelligence in various environments is carried out by synergistic tuning of the interaction of intelligent agents based on data of specific environment obtained by an analytical competent intellectual agent. The interaction of the analytical competent intellectual agent with the environment is carried out through the smart interface of the ensemble. Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from a fear of artificial intelligence towards designing machines that embed our cherished values in them. Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines.},
     year = {2021}
    }
    

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    T1  - Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments
    AU  - Evgeny Bryndin
    Y1  - 2021/04/16
    PY  - 2021
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    JF  - Software Engineering
    JO  - Software Engineering
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    EP  - 33
    PB  - Science Publishing Group
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    AB  - Smart artificial intelligence has psychological, analytical, research, language, professional and behavioral competencies. Its psychological competencies are communication, self-regulation, adaptability during changes, motivation, empathy - identifying the needs of the environment. Psychological competence determines his psychological intelligence - the ability to adequately use his own capabilities, the ability to find solutions and choose adequate ways of communication. Ethical competencies of intelligent artificial intelligence are determined by ethical standards. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. The use of an ensemble with smart ethical artificial intelligence in various environments is carried out by synergistic tuning of the interaction of intelligent agents based on data of specific environment obtained by an analytical competent intellectual agent. The interaction of the analytical competent intellectual agent with the environment is carried out through the smart interface of the ensemble. Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from a fear of artificial intelligence towards designing machines that embed our cherished values in them. Consciousness, intelligence and empathy would be worthy design goals that can be engineered in machines.
    VL  - 8
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Author Information
  • Research Department, Research Center ?Natural Informatics?, Novosibirsk, Russia

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