We need an Asimov style laws of robotics.
Scaled up, technology like guided missiles is locked up behind military classification. The technology is now generally available to replicate many of the use cases of those weapons, assessable to anyone with a credit card.
Discussions about security here often refer to Thompson’s “Reflections on Trusting Trust”. He was reflecting on compromising compilers — compilers have moved up the stack and are replacing the programmer. As the required skill level of a “programmer” drops, you’re going to have to worry about more crazy scenarios.
The laws are 'easy', implementing them is hard.
As for what Asimov thought of the wisdom of the laws, he replied that they were just hooks for telling "shaggy dog stories" as he put it.
Because you haven't been trained of thousands of such story plots in your training data.
It's the most stereotypical plot you can imagine, how can the AI not fall into the stereotype when you've just prompted it with that?
It's not like it analyzed the situation out of a big context and decided from the collected details that it's a valid strategy, no instead you're putting it in an artificial situation with a massive bias in the training data.
It's as if you wrote “Hitler did nothing” to GPT-2 and were shocked because “wrong” is among the most likely next tokens. It wouldn't mean GPT-2 is a Nazi, it would just mean that the input matches too well with the training data.