🌟 Introducing State Discrepancy: A New Metric for AI Intent Quantification 🌟
As AI continues to evolve, understanding user intent becomes crucial. My research proposes State Discrepancy, a groundbreaking metric designed to quantify how AI influences user intent, referred to as “the Ghost.” This can help replace ambiguous concepts of manipulation with tangible engineering variables.
Key Insights:
- Define the Problem: Legal and philosophical vagueness leads to regulatory challenges and user distrust.
- Proposed Metric:
- Calculate Distance: Measure discrepancy between VisualState and LogicalState.
- Response Levels:
- Optimization: Tweak update rates for minimal discrepancies.
- Warning: Apply modifiers based on user experience.
- Intervention: Adjust inputs for larger discrepancies.
- Security: Activate protocols for significant deviations.
Explore the full paper on Zenodo and let’s transform the dialogue around AI manipulation!
🚀 Share your thoughts and engage with me! 🚀
