Social media platforms are abuzz with AI-generated content, from nano banana-themed Durga Puja saree images to celebrity Polaroids and Gemini-crafted figurines. These trends, which involve users uploading personal photos to AI tools for playful, imaginative outputs, are gaining popularity, especially during festive seasons. However, experts warn that sharing images with AI generators poses significant risks, including privacy breaches, deepfake misuse, and societal harms, urging users to exercise caution.

One major concern is the creation of deepfakes, where AI can manipulate uploaded photos to produce convincing but false videos or images, potentially leading to identity theft, harassment, or reputational damage. Additionally, users risk losing control over their likeness, as AI systems can extract sensitive data like locations or social connections, replicating or altering images without consent for explicit or misleading purposes. This loss of agency is particularly alarming with trends like nano banana AI images, which encourage mass photo uploads.

Privacy breaches are another critical issue, as AI platforms may store, share, or sell biometric data, such as facial features, to third parties, risking unauthorized surveillance or identity theft. Furthermore, uploaded photos may be used commercially without consent, feeding into advertisements or training datasets for other AI models. The proliferation of AI-generated images also threatens image authenticity, complicating the distinction between real and fake visuals, which could impact journalism and advertising.

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Experts also highlight the risk of bias amplification, as AI systems often inherit societal prejudices, potentially reinforcing stereotypes or discriminatory outputs like racial profiling in facial recognition. As festive trends like Durga Puja-themed AI content grow, users are advised to scrutinize platform privacy policies and limit photo uploads to trusted services. With AI’s transformative potential comes the need for vigilance to protect personal data and societal trust.

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