Publication | Closed Access
Big Data and Its Exclusions
51
Citations
0
References
2013
Year
Unknown Venue
EngineeringInformation SecurityLawInformation PrivacyTechnology LawBig Data InfrastructureBig Data ModelComputational Social ScienceData ScienceBig Data ArchitectureBig DataData ManagementStatisticsPublic PolicyPrivacy IssueKnowledge DiscoveryAdvanced AnalyticsData PrivacySurveillance CapitalismPrivacyData SecurityData SovereigntyData Privacy LawData Protection
Legal debates over the revolution currently focus on the risks of inclusion: the privacy and civil liberties consequences of being swept up in big data's net. This essay takes a different approach, focusing on the risks of exclusion: the threats big poses to those whom it overlooks. Millions of people worldwide remain on big data's periphery. Their information is not regularly collected or analyzed, because they do not routinely engage in the sorts of behaviors big is designed to capture. Consequently, their preferences and needs risk being routinely ignored when governments and private industry use big and advanced analytics to shape public policy and the marketplace. Because big poses a unique threat to equality, not just privacy, this essay argues that a new data antisubordination doctrine may be needed.