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Data ethics is a branch of ethics that evaluates data practices—collecting, generating, analyzing and disseminating data, both structured and unstructured—that have the potential to adversely impact people and society. It includes addressing and recommending concepts of right and wrong conduct, with transparency in and defensibility of actions and decisions driven by automated/artificial intelligence (AI) in relation to data in general and personal data in particular.
With AI algorithms becoming more commonplace, and without regulated codes of ethics, businesses need to create and maintain a structured and transparent data ethics strategy, which can yield three important business benefits: