A mathematical model doesn’t rebel. Anthropomorphizing it helps obscure human errors and accountability.

The current AI panic often assumes machines act with intent. But a mathematical model doesn’t rebel. Treating it as a conscious agent distracts from the real issue: human decisions. By blaming AI, we avoid examining flawed data, biased design, and poor oversight.

This anthropomorphism serves a purpose. It shifts responsibility from people to algorithms. When an AI system fails, the question should be who built it, who trained it, and who deployed it. Instead, we ask if the AI turned evil. That framing protects the institutions and individuals behind the technology.

The hidden agenda is accountability avoidance. Focusing on fictional AI motives lets us ignore concrete human errors. We need to stop asking what the AI wants and start asking who programmed it and why.

Ultimately, AI is a tool. It reflects our choices, not its own. The panic isn’t about machines—it’s about us.