The recent advancements in the intersection of artificial intelligence (AI) and political science have been transformative, with a particular focus on leveraging large language models (LLMs) for predictive and generative tasks. These models are being integrated into various political processes, including policymaking, political communication, and electoral analysis, offering enhanced efficiency and inclusivity. However, the integration of AI into political systems also raises ethical concerns regarding bias, transparency, and accountability, necessitating the development of governance frameworks that align with democratic values. Notable innovations include the development of agent-based frameworks for predicting legislative behaviors and the creation of AI-driven platforms for transparent policymaking. Additionally, the potential of AI in digital democracy is being explored, with considerations for privacy, misinformation, and the ethical implications of AI-driven political advocacy. Overall, the field is moving towards more interpretable, ethical, and impactful applications of AI in political science.