The article introduces the concept of bias and errors in artificial intelligence (AI), emphasizing that AI is not infallible and can often make mistakes. It outlines two common issues: bias and hallucination in AI-generated responses. The author presents a specific example of how an AI, when asked about electoral procedures, provided incorrect information about how winning the majority of votes in a constituency leads to guaranteed entry into the Bundestag, highlighting the need for critical evaluation of AI answers.

The piece urges users to not take AI responses at face value and suggests strategies for recognizing inaccuracies. It advises people to be well-informed and to verify AI-generated claims, especially when they pertain to significant subjects like politics, where misinformation can have broader implications. The discussion reflects a growing awareness of the importance of understanding AI capabilities and limitations in today's technology-driven society.

In conclusion, the article serves as a reminder that as AI technology evolves, so does the importance of developing critical thinking skills to evaluate its outputs effectively. It encourages users to apply scrutiny to not only AI but also to the information disseminated by various platforms, aiming for a more informed populace capable of navigating digital content intelligently.