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 conference › Paper › peer-review
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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