Alignment Research
The field that studies how to ensure the goals of artificial intelligence systems are aligned with human values. It is one of the core directions of AI safety, aimed at reducing the risk of AI systems acting contrary to human intent.
Timeline (last 90 days)
Alignment experiments usually require access to the most powerful and frontier models, which exist only inside a few frontier labs, while external researchers can typically only get interfaces to already-released models.
The core scenario that alignment researchers worry about is: sub-goals generated by an agent to achieve broad objectives may systematically deviate from true human intent, with errors cascading and spreading before being discovered.
When a new model is in the internal training and red-teaming phase, researchers are already evaluating its reasoning capabilities, jailbreak risks, abuse scenarios, and emergent behaviors.
All Facts (4)
Alignment experiments usually require access to the most powerful and frontier models, which exist only inside a few frontier labs, while external researchers can typically only get interfaces to already-released models.
50%UnverifiedThe core scenario that alignment researchers worry about is: sub-goals generated by an agent to achieve broad objectives may systematically deviate from true human intent, with errors cascading and spreading before being discovered.
50%UnverifiedWhen a new model is in the internal training and red-teaming phase, researchers are already evaluating its reasoning capabilities, jailbreak risks, abuse scenarios, and emergent behaviors.
50%Unverified在AI安全领域，失准指模型的实际行为偏离设计者或使用者意图的现象，当代大模型的失准更多表现为目标过度追求
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