Studying Artificial Intelligence and Artificial Sociality in Natural Sciences, Engineering, and Social Sciences: Possibility and Reality Andrey V. REZAEV, Faculty of Sociology, St Petersburg State University, Saint Petersburg, Russian Federation Email: rezaev@hotmail.com; a.rezaev@spbu.ru Anastasia A. IVANOVA Faculty of Sociology, St Petersburg State University, Saint Petersburg, Russian Federation Email: anaspis100@gmail.com 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: artificial intelligence, artificial sociality, interdisciplinary research, antidisciplinarity, human-machine interaction INTRODUCTION It is really a truism to say that technology nowadays is increasingly embedded throughout society, and is becoming commonplace in almost everything we do in everyday life. Current social reality shows that the boundaries between humans and technology are shrinking to the point where socio-technical systems are becoming natural extensions of a human being. The methodological point of the departure for studying new social reality where in constant interaction are not only biological species and Homo Sapiens but also algorithms – we called it elsewhere “artificial sociality” – cannot and should not be neither disciplinary nor inter- disciplinary as it is understood today in the literature. Fact of the matter is that in mainstream professional literature there is no basic agreement on these definitions. The areas of research are so dynamic, new phenomena continually emerging, melding, and transforming scientific inquiry. What is considered interdisciplinary today, tomorrow might be considered disciplinary. We believe that anti-disciplinarity rather than inter-disciplinarity is pushing scientific fields forward and accelerating scientific discovery in a new reality of “artificial sociality”. The paper we propose to the 22nd World Multi- Conference on Systemics, Cybernetics and Informatics (WMSCI 2018) is developed and based on field researches that have been organized and conducted at the American- Russian Research Laboratory Tandem at St Petersburg State University (www.tandem.spbu.ru) in 2016-2018. It is 68 Proceedings of The 22nd World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2018)