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Key Advanced Research Initiative: A Manifesto for the New-Generation Artificial Intelligence. / Samsonovich, Alexei V.; Shumsky, Sergey A.; Karpov, Valery E. et al.

2022. 824-831 Paper presented at 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico.

Research output: Contribution to conferencePaperpeer-review

Harvard

Samsonovich, AV, Shumsky, SA, Karpov, VE, Kotov, AA & Kolonin, AG 2022, 'Key Advanced Research Initiative: A Manifesto for the New-Generation Artificial Intelligence', Paper presented at 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico, 22.09.2022 - 25.09.2022 pp. 824-831. https://doi.org/10.1016/j.procs.2022.11.140

APA

Samsonovich, A. V., Shumsky, S. A., Karpov, V. E., Kotov, A. A., & Kolonin, A. G. (2022). Key Advanced Research Initiative: A Manifesto for the New-Generation Artificial Intelligence. 824-831. Paper presented at 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico. https://doi.org/10.1016/j.procs.2022.11.140

Vancouver

Samsonovich AV, Shumsky SA, Karpov VE, Kotov AA, Kolonin AG. Key Advanced Research Initiative: A Manifesto for the New-Generation Artificial Intelligence. 2022. Paper presented at 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico. doi: 10.1016/j.procs.2022.11.140

Author

Samsonovich, Alexei V. ; Shumsky, Sergey A. ; Karpov, Valery E. et al. / Key Advanced Research Initiative: A Manifesto for the New-Generation Artificial Intelligence. Paper presented at 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Guadalajara, Mexico.8 p.

BibTeX

@conference{0e784aae00584b268ac692be2ecc5cf6,
title = "Key Advanced Research Initiative: A Manifesto for the New-Generation Artificial Intelligence",
abstract = "The goal here is to identify key directions for the future advanced research initiatives in Artificial Intelligence (AI) and beyond. The following areas are identified as having particular importance: (1) socially emotional, ethical, and moral AI, (2) self-developing and self-sustainable AI, and (3) human-analogous AI, inspired by the human psychology. As a result, a general concept is formulated with the intent to clarify and unify the currently popular slogans, including Artificial General Intelligence (AGI), Strong AI, Human-Level or Humanlike AI (HLAI), Brain-Inspired or Biologically Inspired Cognitive Architectures (BICA), and more. The key idea of the proposed concept is that future AI must open a new angle of view and new perspectives to humans, thereby enriching and transforming the society, helping it to solve its problems and taking the civilization to a new level. While being created by humans, for humans, and fully compatible with humans at the social level, it will not be {"}a human in silicon{"}, but rather an {"}alien{"}: Intelligent, friendly, and welcome. Its principles will combine preprogrammed basic functions and its own natural ontogeny in a virtual social environment. Forms of implementation will range from virtual entities to wearable electronics and autonomous robots. The expected impact on the society will be immense and crucial for its survival.",
keywords = "AGI, anthropocentric AI, artificial creativity, evolutionary computation, humanlike AI, machine learning, strong AI, virtual evolution",
author = "Samsonovich, {Alexei V.} and Shumsky, {Sergey A.} and Karpov, {Valery E.} and Kotov, {Artemy A.} and Kolonin, {Anton G.}",
note = "Acknowledgements: This work was supported by the Russian Science Foundation Grant #22-11-00213, https://rscf.ru/en/project/22-11-00213/. The authors are grateful to Drs. Danila Kornev (Product Director at DeepPavlov.ai), Roman V. Dushkin (Director for Science and Technology, Artificial Intelligence Agency), and Vladimir S. Smolin (Researcher of the Robotics Sector, Department 5, M.V. Keldysh FRC IPM RAS) for fruitful discussions.; 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2022 ; Conference date: 22-09-2022 Through 25-09-2022",
year = "2022",
doi = "10.1016/j.procs.2022.11.140",
language = "English",
pages = "824--831",

}

RIS

TY - CONF

T1 - Key Advanced Research Initiative: A Manifesto for the New-Generation Artificial Intelligence

AU - Samsonovich, Alexei V.

AU - Shumsky, Sergey A.

AU - Karpov, Valery E.

AU - Kotov, Artemy A.

AU - Kolonin, Anton G.

N1 - Acknowledgements: This work was supported by the Russian Science Foundation Grant #22-11-00213, https://rscf.ru/en/project/22-11-00213/. The authors are grateful to Drs. Danila Kornev (Product Director at DeepPavlov.ai), Roman V. Dushkin (Director for Science and Technology, Artificial Intelligence Agency), and Vladimir S. Smolin (Researcher of the Robotics Sector, Department 5, M.V. Keldysh FRC IPM RAS) for fruitful discussions.

PY - 2022

Y1 - 2022

N2 - The goal here is to identify key directions for the future advanced research initiatives in Artificial Intelligence (AI) and beyond. The following areas are identified as having particular importance: (1) socially emotional, ethical, and moral AI, (2) self-developing and self-sustainable AI, and (3) human-analogous AI, inspired by the human psychology. As a result, a general concept is formulated with the intent to clarify and unify the currently popular slogans, including Artificial General Intelligence (AGI), Strong AI, Human-Level or Humanlike AI (HLAI), Brain-Inspired or Biologically Inspired Cognitive Architectures (BICA), and more. The key idea of the proposed concept is that future AI must open a new angle of view and new perspectives to humans, thereby enriching and transforming the society, helping it to solve its problems and taking the civilization to a new level. While being created by humans, for humans, and fully compatible with humans at the social level, it will not be "a human in silicon", but rather an "alien": Intelligent, friendly, and welcome. Its principles will combine preprogrammed basic functions and its own natural ontogeny in a virtual social environment. Forms of implementation will range from virtual entities to wearable electronics and autonomous robots. The expected impact on the society will be immense and crucial for its survival.

AB - The goal here is to identify key directions for the future advanced research initiatives in Artificial Intelligence (AI) and beyond. The following areas are identified as having particular importance: (1) socially emotional, ethical, and moral AI, (2) self-developing and self-sustainable AI, and (3) human-analogous AI, inspired by the human psychology. As a result, a general concept is formulated with the intent to clarify and unify the currently popular slogans, including Artificial General Intelligence (AGI), Strong AI, Human-Level or Humanlike AI (HLAI), Brain-Inspired or Biologically Inspired Cognitive Architectures (BICA), and more. The key idea of the proposed concept is that future AI must open a new angle of view and new perspectives to humans, thereby enriching and transforming the society, helping it to solve its problems and taking the civilization to a new level. While being created by humans, for humans, and fully compatible with humans at the social level, it will not be "a human in silicon", but rather an "alien": Intelligent, friendly, and welcome. Its principles will combine preprogrammed basic functions and its own natural ontogeny in a virtual social environment. Forms of implementation will range from virtual entities to wearable electronics and autonomous robots. The expected impact on the society will be immense and crucial for its survival.

KW - AGI

KW - anthropocentric AI

KW - artificial creativity

KW - evolutionary computation

KW - humanlike AI

KW - machine learning

KW - strong AI

KW - virtual evolution

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85144628803&partnerID=40&md5=c3a4a4d632cf3eb6d19745ef7c31fcb4

UR - https://www.mendeley.com/catalogue/17b00a21-3e11-315a-af5d-d56190fd85b2/

U2 - 10.1016/j.procs.2022.11.140

DO - 10.1016/j.procs.2022.11.140

M3 - Paper

SP - 824

EP - 831

T2 - 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence

Y2 - 22 September 2022 through 25 September 2022

ER -

ID: 45149537