Three Inverse Laws of Robotics: Human Guidelines for AI Use

In a recent article, Susam Pal identifies pitfalls in modern AI interactions and proposes three Inverse Laws of Robotics to guide human behavior around AI systems. Unlike Asimov's laws for robots, these apply to humans and aim to prevent uncritical acceptance of AI output.

The Three Inverse Laws

1. Non-Anthropomorphism: Humans must not attribute emotions, intentions, or moral agency to AI systems. Anthropomorphism distorts judgment and can lead to emotional dependence. The author recommends vendors make AI responses more mechanical rather than human-like.
2. Non-Deference: Humans must not blindly trust AI output. AI systems are large statistical models producing plausible text; they can be factually incorrect, misleading, or incomplete. The article calls for conspicuous warnings on AI services.
3. Non-Abdication of Responsibility: Humans must remain fully responsible and accountable for consequences arising from AI use. This includes verifying outputs and not shifting blame to the tool.

Practical Implications

Pal notes that many search engines highlight AI-generated answers at the top, training users to treat AI as the default authority. He suggests small language tweaks: instead of "I asked ChatGPT," say "I used ChatGPT to generate text." The inverse laws are not exhaustive but provide a framework for safer AI interaction.