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What is Genetic privacy?

Genetic privacy refers to the protection of an individual’s genomic data from unauthorized access, misuse, or exploitation. Privacy laws and ethical guidelines regulate how genetic data is collected, stored, and shared in medical research, ancestry testing, and law enforcement applications to prevent discrimination and ensure data security.

Deepfake
Deepfake technology uses AI-driven generative models, such as GANs (Generative Adversarial Networks), to create hyper-realistic synthetic media, including images, videos, and voices. While deepfakes are used in entertainment and content creation, they also pose ethical challenges in misinformation, fraud, and identity security.
Cryptography
Cryptography is the practice of securing communication and data through mathematical techniques, ensuring confidentiality, integrity, and authenticity. It involves encryption and decryption methods that protect sensitive information from unauthorized access. Cryptography is widely used in cybersecurity, digital signatures, blockchain, and secure communications to safeguard data from threats.
Social data analysis
Social data analysis involves extracting insights from social media platforms, online communities, and behavioral datasets. It helps businesses, governments, and researchers understand trends, consumer sentiment, and public opinion.

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