AI Safety
Research and practices aimed at ensuring AI systems are safe, reliable, and beneficial, especially as capabilities increase.
Related Concepts
- AI Alignment: Explore how AI Alignment relates to AI Safety
- Robustness: Explore how Robustness relates to AI Safety
- Interpretability: Explore how Interpretability relates to AI Safety
- Ethics: Explore how Ethics relates to AI Safety
Why It Matters
Understanding AI Safety is crucial for anyone working with ai ethics & safety. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
AI Alignment
Ensuring AI systems behave in accordance with human values and intentions, a central challenge in AI safety.
Interpretability
Understanding the internal workings of AI models, including which features influence predictions and why.
Robustness
A model's ability to maintain performance under distribution shifts, adversarial attacks, or noisy inputs.