Global Data / Tax Leader at KPMG LLP. getty As a practitioner in the field, I’ve come to realize that generative AI models are reshaping various domains by seamlessly creating highly realistic content, spanning from images to text and even voice samples. However, this transformative technology brings along significant concerns regarding data privacy, identifiable information, and the potential for inference attacks. In this blog, I delve into the multifaceted dimensions of the privacy implications associated with generative AI. 1. Data Privacy And Security Generative AI models heavily rely on extensive training datasets, often comprising sensitive or personal information. This reliance poses profound data privacy and security concerns, such as data breaches and access to sensitive information. Training Datasets And Sensitivity In my analy… Click below to read the full story from Forbes
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Navigating The Depths Of Privacy In The Age Of Generative AI
