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Why are AI Safety hypotheticals almost always from the perspective of reinforcement learning?

I have been reading some articles on AI safety and they almost always speak of AI Safety from the reinforcement learning (RL) perspective, i.e. where we have some artificially intelligent agent acting in an environment so to maximise some reward.

Is there a reason why the focus is very often from this RL POV?

Thanks.

Examples: