{"title":"应对大数据和人工智能的挑战:一个分类和为什么GDPR不能提供一个通用的解决方案","authors":"M. Tzanou","doi":"10.2139/ssrn.3654119","DOIUrl":null,"url":null,"abstract":"The paper challenges the assumption that data privacy frameworks in general and the GDPR in particular can provide an appropriate regulatory solution for big data. It argues that in order to be able to properly reflect on regulatory approaches that grasp with big data challenges, closer attention should be paid to these particular challenges. In this respect, this chapter makes three distinct contributions to the debate regarding regulatory approaches to big data: First, it develops a taxonomy of big data challenges that allows a comprehensive overview of the issues at stake. Second, it examines the capabilities and limitations of the GDPR to address the risks identified in the proposed taxonomy. Third, it offers some suggestions on the pathways that regulators should be considering when approaching big data and AI.","PeriodicalId":189628,"journal":{"name":"InfoSciRN: Machine Learning (Sub-Topic)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Addressing Big Data and AI Challenges: A Taxonomy and Why the GDPR Cannot Provide a One-size-fits-all Solution\",\"authors\":\"M. Tzanou\",\"doi\":\"10.2139/ssrn.3654119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper challenges the assumption that data privacy frameworks in general and the GDPR in particular can provide an appropriate regulatory solution for big data. It argues that in order to be able to properly reflect on regulatory approaches that grasp with big data challenges, closer attention should be paid to these particular challenges. In this respect, this chapter makes three distinct contributions to the debate regarding regulatory approaches to big data: First, it develops a taxonomy of big data challenges that allows a comprehensive overview of the issues at stake. Second, it examines the capabilities and limitations of the GDPR to address the risks identified in the proposed taxonomy. Third, it offers some suggestions on the pathways that regulators should be considering when approaching big data and AI.\",\"PeriodicalId\":189628,\"journal\":{\"name\":\"InfoSciRN: Machine Learning (Sub-Topic)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"InfoSciRN: Machine Learning (Sub-Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3654119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"InfoSciRN: Machine Learning (Sub-Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3654119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Addressing Big Data and AI Challenges: A Taxonomy and Why the GDPR Cannot Provide a One-size-fits-all Solution
The paper challenges the assumption that data privacy frameworks in general and the GDPR in particular can provide an appropriate regulatory solution for big data. It argues that in order to be able to properly reflect on regulatory approaches that grasp with big data challenges, closer attention should be paid to these particular challenges. In this respect, this chapter makes three distinct contributions to the debate regarding regulatory approaches to big data: First, it develops a taxonomy of big data challenges that allows a comprehensive overview of the issues at stake. Second, it examines the capabilities and limitations of the GDPR to address the risks identified in the proposed taxonomy. Third, it offers some suggestions on the pathways that regulators should be considering when approaching big data and AI.