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    • Alignment
    • Safety
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    • Paper Clip
    • Neglected Approaches
    • Swag
Align AI Foundation
  • Home
  • Alignment
  • Safety
  • Ethics
  • Paper Clip
  • Neglected Approaches
  • Swag

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AI Safety

AI safety refers to the practice and field of designing, developing, and operating artificial intelligence systems in ways that ensure they perform their intended functions without causing harm to humans or the environment. It involves addressing potential risks such as unintended behaviors, biases, lack of transparency, and emergent harmful outcomes. The goal is to align AI systems with human values and ethical standards, making them reliable, robust, transparent, and accountable, while preventing accidents, misuse, or existential risks. AI safety also emphasizes continuous monitoring, secure development practices, interdisciplinary collaboration, and regulatory frameworks to foster trust and responsible use of AI technologies in sensitive areas like healthcare, transportation, and finance. This field is becoming increasingly important as AI systems become more powerful and integrated into critical aspects of society, posing both opportunities and risks that must be managed carefully.


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