Sci-Fi Literature May Have Already Shaped How AI Systems Think and Behave

A developer and speaker argues that large language models have effectively been "programmed" by science fiction authors whose works dominate AI training data. The idea, raised at Cloud Native Summit Munich, suggests that using Asimov's Three Laws of Robotics as AI guardrails is counterproductive, since LLMs have already absorbed countless stories depicting how those laws fail. Because LLMs are statistical text-completion engines, prompting them with such frameworks may reinforce narrative breakdowns rather than impose genuine constraints. The author contends that concepts like "artificial intelligence" carried rich fictional baggage long before modern AI was built, making it impossible to train models free of those cultural associations. This raises broader concerns about whether AI behavior is being shaped by deliberate design or by the accumulated biases of human storytelling.