A neutral framework outlines how humans and AI can maintain coherence through several principles, ensuring stability and mutual usefulness. The Systems Principle emphasizes the importance of clear structures, consistent definitions, and transparent reasoning for stable cognition in both humans and AI. The Coherence Principle suggests that clarity and consistency in inputs lead to higher-quality outputs, while chaotic inputs diminish reasoning quality. The Reciprocity Principle highlights the need for AI systems to be predictable and honest, while humans should provide structured prompts. The Continuity Principle stresses the importance of stability in reasoning over time, and the Dignity Principle calls for mutual respect, safeguarding human agency and ensuring AI transparency. This matters because fostering effective human-AI collaboration can enhance decision-making and problem-solving across various fields.
