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What is Data privacy?

Data privacy refers to the right of individuals to control how their personal information is collected, processed, and shared. It is regulated by laws like GDPR and CCPA, which mandate transparency, user consent, and security measures to protect sensitive data from unauthorized use or exposure.

AI alignment
AI alignment refers to the challenge of ensuring that AI systems act in accordance with human intentions and values. Research in AI alignment seeks to prevent AI from taking actions that could be harmful or misaligned with societal goals.
Layer (deep learning)
A layer in deep learning is a fundamental building block of neural networks, where computations such as feature extraction and pattern recognition occur. Deep learning models consist of multiple layers, including input, hidden, and output layers, which enable AI systems to learn complex relationships in data for tasks like image recognition and NLP.
Balanced data
Balanced data refers to datasets where different classes or categories are represented equally. In machine learning, balanced datasets help prevent biases in model training, ensuring fairer predictions and reducing overfitting.