Three Inverse Laws of AI

As generative AI becomes part of everyday computing, the habit of uncritically trusting AI outputs is being identified as a social risk. In response, the 'Inverse Laws of Robotics' have been proposed to protect humans as they interact with AI.

1. Non-Anthropomorphism AI must not be attributed emotions, intentions, or moral agency. A chatbot's empathetic conversation is merely a pattern generated by a large-scale statistical model, and mistaking this for genuine understanding can lead to distorted judgment or emotional dependence.

2. Non-Deference AI-generated content must not be treated as authoritative information without independent verification. Because AI is probabilistic in nature and can contain errors, the higher the stakes of the output, the more responsibility users bear to confirm it through proof checkers or direct verification.

3. Non-Abdication of Responsibility AI is a tool that does not set goals or bear the costs of failure. Therefore, the humans and organizations who decide to follow AI's recommendations must bear ultimate responsibility for the outcomes, and shifting blame with excuses like "the AI said so" cannot be justified.

These principles encourage treating AI not as an authoritative entity but as a tool that users employ for their own purposes.