LSN: Other Consumer Privacy (Sub-Topic)最新文献

{"title":"Towards a Data-Driven Financial System: The Impact of COVID-19","authors":"Nydia Remolina","doi":"10.2139/ssrn.3660874","DOIUrl":"https://doi.org/10.2139/ssrn.3660874","url":null,"abstract":"The COVID-19 outbreak has a growing impact on the global economy and the financial sector, which plays a critical role in mitigating the unprecedented macroeconomic and financial shock caused by the pandemic. Given the unprecedented nature of the current crisis, financial regulators and supervisors, central banks, along with governments and legislatures face challenges to maintain financial stability, preserve the well-functioning core markets, and ensure the flow of credit to the real economy. Even though the COVID-19 has slowed down our daily lives and stopped the operation of many industries, it did not have the same effect in the data-driven finance world. The digital transformation of the financial services industry and financial technologies (fintech) have contributed to face some of the challenges of the pandemic. This paper explains the ongoing data revolution in the financial services industry and how traditional financial institutions and fintechs are trying to leverage data-driven solutions to respond to the challenges associated with the economic crisis derived from the pandemic. The paper also argues that despite the potential benefits of this transformation, the future of data-driven finance in a post-pandemic world looks challenging and generates many risks for consumers and the stability of the financial sector that regulators need to address. An adequate balance of different regulatory objectives will be crucial for a sustainable recovery in a post-pandemic financial industry.","PeriodicalId":200945,"journal":{"name":"LSN: Other Consumer Privacy (Sub-Topic)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127949983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"'To Share or Not to Share. That is Not the Question' - A Privacy Preserving Procedure for Sharing Linked Data","authors":"K. Muralidhar, R. Sarathy, Han Li","doi":"10.2139/ssrn.2462152","DOIUrl":"https://doi.org/10.2139/ssrn.2462152","url":null,"abstract":"Recently the New York Times reported on the University of Pittsburgh Medical Center using commercial data from Acxiom to develop analytical models to “intended to improve patients’ health care outcomes and contain costs.” The article summarizes the process as follows: \"The Pittsburgh health plan, for instance, has developed prediction models that analyze data like patient claims, prescriptions and census records to determine which members are likely to use the most emergency and urgent care, which can be expensive. Data sets of past health care consumption are fairly standard tools for predicting future use of health services. But the insurer recently bolstered its forecasting models with details on members’ household incomes, education levels, marital status, race or ethnicity, number of children at home, number of cars and so on. One of the sources for the consumer data U.P.M.C. used was Acxiom, a marketing analytics company that obtains consumers’ information from both public records and private sources. With the addition of these household details, the insurer turned up a few unexpected correlations: Mail-order shoppers and Internet users, for example, were likelier than some other members to use more emergency services.\" Not surprisingly, the legal and ethical implications of this practice has raised concerns: \"'This intensive, intrusive kind of data analytics that leads to differential treatment of customers, even if we are fine with it in the business context, needs to be disclosed in the medical context,' says Frank Pasquale, a professor in health care regulation at the Seton Hall University School of Law.\" At first glance, there appears to be no way out of the dilemma. It is clear that sharing individual data can be perceived as intrusive and possibly unethical. On the other hand not sharing precludes the possibility of substantial benefits to both individuals and organizations. We contend that posing this question as either to share or not share individual data is to ignore the possibility of a compromise. It is possible for healthcare and other data to be linked and analyzed allowing us to realize most of the benefits (preserving statistical relationships) for a small price (little or no disclosure of private information). In this study, we describe a procedure for achieving this objective.","PeriodicalId":200945,"journal":{"name":"LSN: Other Consumer Privacy (Sub-Topic)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125523034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regulation of Transborder Data Flows Under Data Protection and Privacy Law","authors":"C. Kuner","doi":"10.1787/5KG0S2FK315F-EN","DOIUrl":"https://doi.org/10.1787/5KG0S2FK315F-EN","url":null,"abstract":"Transborder data flows have become increasingly important in economic, political, and social terms over the 30 years since the adoption, in 1980, of the OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data. A fundamental change in the business and technological environment for data processing is also taking place, driven by developments such as the increased globalisation of the world economy; the growing economic importance of data processing; the ubiquity of data transfers over the Internet; greater direct involvement of individuals in transborder data flows; the changing role of geography; and growing risks to the privacy of individuals. Despite these fundamental changes in the data processing landscape, and the growth in the regulation of transborder data flows in numerous countries, there has been little attempt so far to conduct a systematic inventory of such regulation at a global level; to examine the policies underlying it; and to consider whether those policies need to be re-evaluated. This study is designed to describe the present status of transborder data flow regulation, and to provoke reflection about its aims, operation, and effectiveness, now and in the future.","PeriodicalId":200945,"journal":{"name":"LSN: Other Consumer Privacy (Sub-Topic)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114072803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}