ISSN: 1690-4524 (Online)
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Education 5.0: Using the Design Thinking Process – An Interdisciplinary View Birgit Oberer , Alptekin Erkollar (pages: 1-17) Impact of Artificial Intelligence on Smart Cities Mohammad Ilyas (pages: 18-39) A Multi-Disciplinary Cybernetic Approach to Pedagogic Excellence Russell Jay Hendel (pages: 40-63) Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research Cristo Ernesto Yáñez León , James Lipuma (pages: 64-79) From Disunity to Synergy: Transdisciplinarity in HR Trends Olga Bernikova , Daria Frolova (pages: 80-92) The Impact of Artificial Intelligence on the Future Business World Hebah Y. AlQato (pages: 93-104) Wi-Fi and the Wisdom Exchange: The Role of Lived Experience in the Age of AI Teresa H. Langness (pages: 105-113) Older Adult Online Learning during COVID-19 in Taiwan: Based on Teachers' Perspective Ya-Hui Lee , Yi-Fen Wang , Hsien-Ta Cha (pages: 114-129) Data Visualization of Budgeting Assumptions: An Illustrative Case of Trans-disciplinary Applied Knowledge Carol E. Cuthbert , Noel J. Pears , Karen Bradshaw (pages: 130-149) The Importance of Defining Cybersecurity
from a Transdisciplinary Approach Bilquis Ferdousi (pages: 150-164) ChatGPT, Metaverses and the Future of Transdisciplinary Communication Jasmin (Bey) Cowin (pages: 165-178) Trans-Disciplinary Communication for Policy Making: A Reflective Activity Study Cristo Leon (pages: 179-192) Trans-Disciplinary Communication in Collaborative Co-Design for Knowledge Sharing James Lipuma , Cristo Leon (pages: 193-210) Digital Games in Education: An Interdisciplinary View Birgit Oberer , Alptekin Erkollar (pages: 211-230) Disciplinary Inbreeding or Disciplinary Integration? Nagib Callaos (pages: 231-281)
ABSTRACT
Studying Artificial Intelligence and Artificial Sociality in Natural Sciences,
Engineering, and Social Sciences: Possibility and Reality Andrey V. Rezaev, Anastasia A. Ivanova
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 antidisciplinarity
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.
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