Understanding AI systems requires recognizing their differences from traditional software, particularly regarding vulnerabilities and debugging. Misconceptions about AI's behavior and fixability arise from applying conventional software principles, leading to confusion between experts and novices. It is crucial to communicate these differences to ensure a realistic understanding of AI safety and reliability.