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What is AI trust paradox?

The AI trust paradox highlights the contradiction between the increasing capabilities of AI and the growing distrust from users. While AI can enhance efficiency and decision-making, concerns over bias, explainability, and control contribute to skepticism.

Machine Learning (ML)
Machine Learning (ML) is a branch of artificial intelligence that enables systems to learn from data and improve performance without explicit programming. It encompasses various techniques, including supervised, unsupervised, and reinforcement learning, powering applications such as fraud detection, recommendation systems, and autonomous driving.
Privacy settings
Privacy settings refer to user-controlled options that determine how personal data is shared, stored, and used by online services and applications. These settings allow individuals to manage their privacy preferences and limit exposure to third parties.
Data
Data is raw information that can be structured, semi-structured, or unstructured. It serves as the foundation for analytics, machine learning, and decision-making. Effective data management includes storage, processing, security, and governance strategies to maximize data's value in various applications.

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