
Generative AI and data privacy: Navigating the complex landscape
New Indian ExpressGenerative AI, which includes technologies such as deep learning, natural language processing, and speech recognition for generating text, images, and audio, is transforming various sectors from entertainment to healthcare. Data privacy challenges raised by GenAI Not securing data while collection or processing: Generative AI raises significant data privacy concerns due to its need for vast amounts of diverse data, often including sensitive personal information, collected without explicit consent and difficult to anonymise effectively. The risk of generated content: The ability of generative AI to produce highly realistic fake content raises serious concerns about its potential for misuse. Additionally, unidentified biases in the training data can lead to unfair outputs, and the creation of highly realistic but fake content, like deepfakes, poses risks to content authenticity and verification. Lack of fairness and ethical considerations: Generative AI models can perpetuate or even exacerbate existing biases present in their training data.
History of this topic

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