What are the main challenges in AI alignment?
The main challenges in AI alignment include value specification, robustness, and scalability.
Can you explain value specification?
Value specification involves defining what human values are and how to encode them into AI systems.
Why is robustness important in AI alignment?
Robustness ensures that AI systems behave as intended even in unexpected situations or environments.
What does scalability mean in this context?
Scalability refers to the ability of AI alignment methods to work effectively as AI systems become more complex.
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