Abstract
Big data analytics sifts through mountains of data to identify or predict facts about individuals and to use those facts in decisions ranging from which products to sell them to whether to provide them medical treatment. Given the present state of technology, there are risks associated with big data analytics: source data may be misunderstood or contain errors and analytics processes may introduce new errors or be less exact than intended. Data protection and the application of principles of fair information practices promote the responsible management and use of information about individuals and guard against risks that data and its use may raise. Given the potential harm to individuals—from the denial of credit or care to the elimination of educational opportunities—we addresses the corporate, social, and ethical responsibility to engage the appropriate professionals in making decisions to use the resulting predictions as well as the responsibility to implement a robust risk management process.
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