{"title":"Effects of digitalization on the human centricity of social security administration and services","authors":"Brian Lee-Archer","doi":"10.54394/pmpd3825","DOIUrl":null,"url":null,"abstract":"Digital data and the social license governing its use are fundamental to a new wave of digital technology innovations needed to address the looming social policy challenges. To address these modern social policy challenges, social security needs to reinforce the capabilities for digital enabled human decision making. To enable the latter, digital data, once collected in raw form is refined and transformed as it moves through the data lifecycle of research, policy, program design, service delivery and evaluation. Social policy thinking and decision making is informed by these new and innovative data products emerging at each phase of the data life cycle. The human dimension, guided by insight and knowledge from a dynamic evidence base of digital data, is essential for managing the risks (i.e., privacy, security, ethics) while achieving the benefits (i.e., better social outcomes for stronger societies). The performance and integrity of human decision-makers in managing these risks for the public good will determine the direction of public trust and confidence in the social security administration","PeriodicalId":383951,"journal":{"name":"ILO Working Papers","volume":"67 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ILO Working Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54394/pmpd3825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Digital data and the social license governing its use are fundamental to a new wave of digital technology innovations needed to address the looming social policy challenges. To address these modern social policy challenges, social security needs to reinforce the capabilities for digital enabled human decision making. To enable the latter, digital data, once collected in raw form is refined and transformed as it moves through the data lifecycle of research, policy, program design, service delivery and evaluation. Social policy thinking and decision making is informed by these new and innovative data products emerging at each phase of the data life cycle. The human dimension, guided by insight and knowledge from a dynamic evidence base of digital data, is essential for managing the risks (i.e., privacy, security, ethics) while achieving the benefits (i.e., better social outcomes for stronger societies). The performance and integrity of human decision-makers in managing these risks for the public good will determine the direction of public trust and confidence in the social security administration