Abstract

The If Not Then Voting System Argument proposes a transformative approach to electoral systems by enabling voters to rank their preferences. This system ensures that secondary choices are considered if primary choices are eliminated, addressing voter dissatisfaction and polarization inherent in traditional voting models. By integrating AI-driven transparency tools, behavioral science insights, and cultural adaptability mechanisms, this system enhances fairness, equity, and trust in democratic processes. Case studies in ranked-choice voting demonstrate its effectiveness in fostering broader consensus, reducing polarization, and improving voter satisfaction. This argument concludes by advocating for the global adoption of this system through phased implementation and ethical safeguards, ensuring its adaptability across diverse electoral structures.