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AI safety

AI safety refers to the field of research focused on ensuring that advanced artificial intelligence systems act in ways that are beneficial and do not pose risks to humanity. As AI becomes more powerful, it’s crucial to make sure it aligns with human values and intentions. This involves developing techniques to prevent unintended behaviors, ensuring reliability, and addressing ethical concerns. The goal is to create AI that supports our goals safely while minimizing potential dangers, especially as systems become increasingly autonomous and capable.

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    AI safety refers to the measures and practices aimed at ensuring that artificial intelligence systems operate in a manner that is beneficial and does not pose risks to humans or society. As AI technology advances, concerns arise about unintended consequences, misuse, and alignment with human values. Safety involves designing AI to be reliable, morally responsible, and controllable, preventing scenarios where AI could cause harm or act against human interests. Researchers and developers focus on creating guidelines and frameworks to address these challenges, promoting positive outcomes as AI becomes more integrated into everyday life.