Standard
Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality. / Резаев, Андрей Владимирович; Иванова, Анастасия Андреевна.
WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings: Исследования искусственного интеллекта в инженерном деле, естественных науках и общественных науках: возможность и действительность. ed. / Belkis Sanchez; Michael Savoie; Nagib Callaos. International Institute of Informatics and Systemics, 2018. p. 68-71 (WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings; Vol. 1).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Резаев, АВ & Иванова, АА 2018,
Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality. in B Sanchez, M Savoie & N Callaos (eds),
WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings: Исследования искусственного интеллекта в инженерном деле, естественных науках и общественных науках: возможность и действительность. WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings, vol. 1, International Institute of Informatics and Systemics, pp. 68-71.
APA
Резаев, А. В., & Иванова, А. А. (2018).
Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality. In B. Sanchez, M. Savoie, & N. Callaos (Eds.),
WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings: Исследования искусственного интеллекта в инженерном деле, естественных науках и общественных науках: возможность и действительность (pp. 68-71). (WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings; Vol. 1). International Institute of Informatics and Systemics.
Vancouver
Резаев АВ, Иванова АА.
Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality. In Sanchez B, Savoie M, Callaos N, editors, WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings: Исследования искусственного интеллекта в инженерном деле, естественных науках и общественных науках: возможность и действительность. International Institute of Informatics and Systemics. 2018. p. 68-71. (WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings).
Author
Резаев, Андрей Владимирович ; Иванова, Анастасия Андреевна. /
Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality. WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings: Исследования искусственного интеллекта в инженерном деле, естественных науках и общественных науках: возможность и действительность. editor / Belkis Sanchez ; Michael Savoie ; Nagib Callaos. International Institute of Informatics and Systemics, 2018. pp. 68-71 (WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings).
BibTeX
@inproceedings{b099efdfb1a045e08779e0580843556b,
title = "Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality",
abstract = "The paper highlights issues of studying artificial intelligence (AI). The path taken here is to engage the reader in a discussion of interdisciplinarity/crossdisciplinarity of AI studies. It begins with a basic assumption and key argument that anti-disciplinarity rather than inter-or multi-disciplinarity will bring a new dynamic to scientific research dealing with {"}artificial intelligence{"} and {"}artificial sociality{"}. Discussion of the social scientists' concerns and problems is reported in what follows. On this base the authors develop their ideas which may help theorists and empirical researchers to tackle questions of AI development in a society. In a conclusion the paper makes correlations of the research outcomes with a reality of higher education.",
keywords = "Antidisciplinarity, Artificial intelligence, Artificial sociality, Human-machine interaction, Interdisciplinary research",
author = "Резаев, {Андрей Владимирович} and Иванова, {Анастасия Андреевна}",
note = "Funding Information: Work on this paper was supported by the Grant from RSF No 18-18-00097.",
year = "2018",
month = jul,
language = "English",
series = "WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
publisher = "International Institute of Informatics and Systemics",
pages = "68--71",
editor = "Belkis Sanchez and Michael Savoie and Nagib Callaos",
booktitle = "WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
address = "United States",
}
RIS
TY - GEN
T1 - Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality
AU - Резаев, Андрей Владимирович
AU - Иванова, Анастасия Андреевна
N1 - Funding Information:
Work on this paper was supported by the Grant from RSF No 18-18-00097.
PY - 2018/7
Y1 - 2018/7
N2 - The paper highlights issues of studying artificial intelligence (AI). The path taken here is to engage the reader in a discussion of interdisciplinarity/crossdisciplinarity of AI studies. It begins with a basic assumption and key argument that anti-disciplinarity rather than inter-or multi-disciplinarity will bring a new dynamic to scientific research dealing with "artificial intelligence" and "artificial sociality". Discussion of the social scientists' concerns and problems is reported in what follows. On this base the authors develop their ideas which may help theorists and empirical researchers to tackle questions of AI development in a society. In a conclusion the paper makes correlations of the research outcomes with a reality of higher education.
AB - The paper highlights issues of studying artificial intelligence (AI). The path taken here is to engage the reader in a discussion of interdisciplinarity/crossdisciplinarity of AI studies. It begins with a basic assumption and key argument that anti-disciplinarity rather than inter-or multi-disciplinarity will bring a new dynamic to scientific research dealing with "artificial intelligence" and "artificial sociality". Discussion of the social scientists' concerns and problems is reported in what follows. On this base the authors develop their ideas which may help theorists and empirical researchers to tackle questions of AI development in a society. In a conclusion the paper makes correlations of the research outcomes with a reality of higher education.
KW - Antidisciplinarity
KW - Artificial intelligence
KW - Artificial sociality
KW - Human-machine interaction
KW - Interdisciplinary research
UR - http://www.scopus.com/inward/record.url?scp=85055654323&partnerID=8YFLogxK
M3 - Conference contribution
T3 - WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
SP - 68
EP - 71
BT - WMSCI 2018 - 22nd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
A2 - Sanchez, Belkis
A2 - Savoie, Michael
A2 - Callaos, Nagib
PB - International Institute of Informatics and Systemics
ER -
