{"title":"Artificial intelligence in the practice of work","authors":"M. Heinlein, N. Huchler","doi":"10.13169/workorgalaboglob.17.1.0034","DOIUrl":null,"url":null,"abstract":"The article proposes an analytical perspective on artificial intelligence (AI) that can be fruitful in the sociology of work. The practical logic of new forms of AI (connectionist AI) is described as an interplay of social and technical processes of opening and closing possibilities of knowledge and action. In order to develop this argument, it is first shown in which sense AI can be understood as a contingency-generating technology in socio-technical contexts. The architecture based on neural networks is elaborated as a decisive feature of connectionist AI that not only opens up technical possibilities but can also shape social processes and structures by ‘selectivity’. However, this shaping does not take place solely on the part of the AI, but only becomes apparent in the interplay with specific restrictions that lie both in the social context of use and in the algorithmic architecture of the AI itself. For research in the sociology of work, this means that contingency theory approaches must be linked with approaches that emphasise the limits of (‘intelligent’) digitalisation. The yield of such a perspective is outlined in relation to the control of work with AI.","PeriodicalId":52161,"journal":{"name":"Work Organisation, Labour and Globalisation","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Work Organisation, Labour and Globalisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13169/workorgalaboglob.17.1.0034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0
Abstract
The article proposes an analytical perspective on artificial intelligence (AI) that can be fruitful in the sociology of work. The practical logic of new forms of AI (connectionist AI) is described as an interplay of social and technical processes of opening and closing possibilities of knowledge and action. In order to develop this argument, it is first shown in which sense AI can be understood as a contingency-generating technology in socio-technical contexts. The architecture based on neural networks is elaborated as a decisive feature of connectionist AI that not only opens up technical possibilities but can also shape social processes and structures by ‘selectivity’. However, this shaping does not take place solely on the part of the AI, but only becomes apparent in the interplay with specific restrictions that lie both in the social context of use and in the algorithmic architecture of the AI itself. For research in the sociology of work, this means that contingency theory approaches must be linked with approaches that emphasise the limits of (‘intelligent’) digitalisation. The yield of such a perspective is outlined in relation to the control of work with AI.
期刊介绍:
Work Organisation, Labour and Globalisation aims to: -Provide a single home for articles which specifically address issues relating to the changing international division of labour and the restructuring of work in a global knowledge-based economy. -Bring together the results of empirical research, both qualitative and quantitative, with theoretical analyses in order to inform the development of new interdisciplinary approaches to the study of the restructuring of work, organisational structures and labour in a global context. -Be global in scope, with a particular emphasis on attracting contributions from developing countries as well as from Europe, North America and other developed regions. -Encourage a dialogue between university-based researchers and their counterparts in international and national government agencies, independent research institutes, trade unions and civil society as well as other policy makers. Subject to the requirements of scholarly peer review, it is open to submissions from contributors working outside the academic sphere and encourages an accessible style of writing in order to facilitate this goal. -Complement, rather than compete with, existing discipline-based journals. -Bring to the attention of English-speaking readers relevant articles originally published in other languages.