scholarly journals ARE SOCIOLOGISTS READY FOR ‘ARTIFICIAL SOCIALITY’? CURRENT ISSUES AND FUTURE PROSPECTS FOR STUDYING ARTIFICIAL INTELLIGENCE IN THE SOCIAL SCIENCES

Author(s):  
Andrey V. REZAEV ◽  
Natalia D. TREGUBOVA

Current sociology doesn’t have a settled view on what to do with a phenomenon that in the literature has been titled as “artificial intelligence” (AI). Sociological textbooks, handbooks, encyclopedias, and sociology classes’ syllabi typically either don’t have entries about AI at all or talk about it haphazardly with a stress on AI’s social effects and without discerning the underlying logic that moves the prodigy on. This paper is an invitation to a professional conversation about what and how social sciences can/should study “artificial intelligence”. It is based on a discussion of the preliminary results of an on-going three-year research project that has been launched at the ISA Congress in Toronto. The paper examines AI in relation with ‘artificial sociality’. It argues that research on AI-based technologies is flourishing mainly outside established disciplinary boundaries. Thus, social sciences have to look for new theoretical and methodological frameworks to approach AI and ‘artificial sociality’.

Author(s):  
Андрей Владимирович Резаев ◽  
Наталья Дамировна Трегубова

Acknowledgements. The study was conducted in the framework of the research project supported by RFBR grant No. 20-04-60033.


2010 ◽  
Vol 23 (2) ◽  
pp. 221-265 ◽  
Author(s):  
Philippe Fontaine

ArgumentFor more than thirty years after World War II, the unconventional economist Kenneth E. Boulding (1910–1993) was a fervent advocate of the integration of the social sciences. Building on common general principles from various fields, notably economics, political science, and sociology, Boulding claimed that an integrated social science in which mental images were recognized as the main determinant of human behavior would allow for a better understanding of society. Boulding's approach culminated in the social triangle, a view of society as comprised of three main social organizers – exchange, threat, and love – combined in varying proportions. According to this view, the problems of American society were caused by an unbalanced combination of these three organizers. The goal of integrated social scientific knowledge was therefore to help policy makers achieve the “right” proportions of exchange, threat, and love that would lead to social stabilization. Though he was hopeful that cross-disciplinary exchanges would overcome the shortcomings of too narrow specialization, Boulding found that rather than being the locus of a peaceful and mutually beneficial exchange, disciplinary boundaries were often the occasion of conflict and miscommunication.


2021 ◽  
Vol 3 ◽  
Author(s):  
Alexandre K. Ligo ◽  
Krista Rand ◽  
Jason Bassett ◽  
S. E. Galaitsi ◽  
Benjamin D. Trump ◽  
...  

Applications of Artificial Intelligence (AI) can be examined from perspectives of different disciplines and research areas ranging from computer science and security, engineering, policymaking, and sociology. The technical scholarship of emerging technologies usually precedes the discussion of their societal implications but can benefit from social science insight in scientific development. Therefore, there is an urgent need for scientists and engineers developing AI algorithms and applications to actively engage with scholars in the social sciences. Without collaborative engagement, developers may encounter resistance to the approval and adoption of their technological advancements. This paper reviews a dataset, collected by Elsevier from the Scopus database, of papers on AI application published between 1997 and 2018, and examines how the co-development of technical and social science communities has grown throughout AI's earliest to latest stages of development. Thus far, more AI research exists that combines social science and technical explorations than AI scholarship of social sciences alone, and both categories are dwarfed by technical research. Moreover, we identify a relative absence of AI research related to its societal implications such as governance, ethics, or moral implications of the technology. The future of AI scholarship will benefit from both technical and social science examinations of the discipline's risk assessment, governance, and public engagement needs, to foster advances in AI that are sustainable, risk-informed, and societally beneficial.


1995 ◽  
Vol 10 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Molly D. Anderson

AbstractThe acceptance and utility of alternative agricultural research can be enhanced by better incorporating social sciences and issues and by broadening its scope to the entire food system rather than focusing only on food production. Researchers have made strong contributions in developing and evaluating alternative agricultural technologies, but research attention also is needed to articulate strategies for synthesizing those technologies into coherent strategies, to examine the social effects of different scenarios, and to create better decisionmaking processes for ensuring broad-based knowledgeable participation in the choices among alternative strategies. Research that addresses human needs beyond food and fiber will help build truly alternative and desirable agricultural systems.


Most experts consider that society has entered in a Fourth Industrial Revolution that implies ubiquitous changes characterized by a fusion of technologies that is blurring the lines that differentiate physical, digital, and biological spheres. This implies to open a door to important changes in the teaching and learning of the social sciences, geography, and history. Regarding this, it is necessary that both citizens and organizations develop new skills. Artificial intelligence as education technology is possible due to digital and online tools. Adaptive learning, meanwhile, is related to artificial intelligence, personalizing the learning and offering contents adapted to students. New challenges in the teaching of social sciences extends beyond the learning of facts and events. As a result of changes in society of Fourth Industrial Revolution, thinking-based learning (TBL) with the support of learning and knowledge technologies (LKT), creativity, critical thinking, and cooperation are some of the essential learning goals to participate in society.


Author(s):  
Gabrielle Watson

Respect is a value whose importance in contemporary criminal justice many would endorse in principle. It is well established that every person, by virtue of his humanity, has a claim to respect that need not be negotiated and cannot be forfeited. Rich and ongoing debates about respect beyond criminal justice—notably, in philosophy and elsewhere in the social sciences—indicate that scholarly interest in respect surpasses disciplinary boundaries, that it is of considerable explanatory and normative scope, and that it matters. It is curious, then, that despite academic interest in the democratic design of penal institutions in recent decades, respect is more akin to a slogan than a foundational value of criminal justice practice.


2020 ◽  
Author(s):  
Claus Reis

The social integration of refugees and other immigrants depends on the development of their chances of participating in society and on making them more proficient in doing so, a strategy which requires the corresponding alignment and coordination of local social services. This handbook practically uses the results of a large research project. It shows how to build up networks of professionals and volunteers and to establish case management as a concept and method in order to coordinate individually oriented services. The handbook presents a theoretical foundation, but also practical concepts and useful instruments with which to implement them. It will appeal to those who work in the context of local social and migration policy, as well as academics and teachers in the field of social sciences.


2019 ◽  
Vol 5 (1) ◽  
pp. 135-163 ◽  
Author(s):  
Irena Vassileva ◽  
Mariya Chankova

This contribution probes into the attitudes towards plagiarism in academia as it details the results of a questionnaire study within the larger framework of a joint Bulgarian-German research project on plagiarism in academia. The questionnaire focused on investigating the scope of the notion of plagiarism as Bulgarian academics understand it and second, looking into the availability of a system of support to prevent transgressors and/or sanctions for transgressing academics across Bulgarian universities. The results of the questionnaire suggest that while there appears to be a consensus among Bulgarian academics about the different facets that make up the notion of plagiarism, the reported attitudes towards plagiarism practices vary greatly, reflecting a non-uniform perception of what constitutes an offense. It also shows a deep dissatisfaction with existing anti-plagiarism regulatory systems in Bulgarian scientific institutions. Note: This study was financed by the Alexander von Humboldt Foundation, Germany, as part of a larger project entitled: “Text Plagiarism in the Social Sciences vis-à-vis Ethical Aspects and Common Practices” and realized within the framework of the Research Group Linkage Programme of the foundation in the period of 01.01.2017 – 30.06.2018. Ref. 3.4 – 1062413 – BGR – IP.


Author(s):  
Peter Andrée ◽  
Isobel Findlay ◽  
David Peacock

The content in this special issue was created in the context of the Community First: Impacts of Community Engagement (CFICE, pronounced “suffice”) partnership research project, funded by the Social Sciences and Humanities Research Council of Canada beginning in 2012. As you will see in this short video, our project seeks to develop strong community-campus partnerships “by putting community first”.


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