{"title":"INSURANCE DEVELOPMENTS IN THE LIGHT OF DATA USE","authors":"N. Madaoui","doi":"10.52326/jss.utm.2023.6(4).03","DOIUrl":null,"url":null,"abstract":"Insurance companies are increasingly utilizing large sets of data and artificial intelligence for the purpose of evaluating risks and tailoring insurance products within the framework of insurance contracts. This research seeks to examine the effects of employing extensive data in insurance contracts, particularly concerning privacy and risk. It aims to assess the extent to which existing legal regulations can safeguard policyholders from potential mistreatment resulting from the use of such methodologies. The study concludes that despite the safeguards offered by data and consumer protection laws, the unregulated and unconstrained application of data analytics and algorithms in risk evaluation could potentially harm policyholders by infringing on their privacy and leading to discrimination, thereby impinging on their rights.","PeriodicalId":36372,"journal":{"name":"Journal of Social Sciences","volume":"26 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Social Sciences","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.52326/jss.utm.2023.6(4).03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Insurance companies are increasingly utilizing large sets of data and artificial intelligence for the purpose of evaluating risks and tailoring insurance products within the framework of insurance contracts. This research seeks to examine the effects of employing extensive data in insurance contracts, particularly concerning privacy and risk. It aims to assess the extent to which existing legal regulations can safeguard policyholders from potential mistreatment resulting from the use of such methodologies. The study concludes that despite the safeguards offered by data and consumer protection laws, the unregulated and unconstrained application of data analytics and algorithms in risk evaluation could potentially harm policyholders by infringing on their privacy and leading to discrimination, thereby impinging on their rights.