Why artificial intelligence design must prioritize data privacy

This article is brought to you thanks to the collaboration of The European Sting with the World Economic Forum. Data privacy is often linked with artificial intelligence (AI) models based on consumer data. Understandably, users are wary about automated technologies that obtain and use their data, which may include sensitive information. As AI models depend on data quality to deliver salient results, their continued existence hinges on privacy protection being integral to their design. More than just a way to dispel customers' fears and concerns, good privacy and data management practices have a lot to do with the company's core organizational values, business processes, and security management. Privacy issues have been extensively studied and publicized, and data from our privacy perception survey indicates that privacy protection is a crucial concern for consumers.