{"title":"The rise of artificial intelligence, the fall of human wellbeing?","authors":"Yong Zhao, Da Yin, Lili Wang, Yihua Yu","doi":"10.1111/ijsw.12586","DOIUrl":null,"url":null,"abstract":"<p>Concerns exist regarding the impact on our lives of the rise of artificial intelligence (AI). Using a large dataset of 137 countries over the period 2005–2018 from multiple sources, we estimate the causal effect of AI on individual-level subjective wellbeing. Our identification strategy is inferred from the gravity framework and uses merely the variation in exogenous drivers of a country's AI development. We find a significant negative effect of AI on an individual's wellbeing, in terms of current levels or expectations of future wellbeing. The results are robust to alternative measures of AI, identification strategies, and sampling. Moreover, we find evidence of significant heterogeneity in the impact of AI on individual wellbeing. Further, this dampening effect on individual wellbeing resulting from the use of AI is more prominent among young people, men, high-income groups, high-skilled groups, and manufacturing workers.</p>","PeriodicalId":47567,"journal":{"name":"International Journal of Social Welfare","volume":"33 1","pages":"75-105"},"PeriodicalIF":1.2000,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Social Welfare","FirstCategoryId":"90","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijsw.12586","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL WORK","Score":null,"Total":0}
引用次数: 1
Abstract
Concerns exist regarding the impact on our lives of the rise of artificial intelligence (AI). Using a large dataset of 137 countries over the period 2005–2018 from multiple sources, we estimate the causal effect of AI on individual-level subjective wellbeing. Our identification strategy is inferred from the gravity framework and uses merely the variation in exogenous drivers of a country's AI development. We find a significant negative effect of AI on an individual's wellbeing, in terms of current levels or expectations of future wellbeing. The results are robust to alternative measures of AI, identification strategies, and sampling. Moreover, we find evidence of significant heterogeneity in the impact of AI on individual wellbeing. Further, this dampening effect on individual wellbeing resulting from the use of AI is more prominent among young people, men, high-income groups, high-skilled groups, and manufacturing workers.
期刊介绍：
The International Journal of Social Welfare publishes original articles in English on social welfare and social work. Its interdisciplinary approach and comparative perspective promote examination of the most pressing social welfare issues of the day by researchers from the various branches of the applied social sciences. The journal seeks to disseminate knowledge and to encourage debate about these issues and their regional and global implications.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
