Artificial intelligence (AI) is rapidly changing how we live and work. One of the most exciting developments is the rise of large language models (LLMs). These powerful tools can process vast amounts of information and generate human-like text, opening up incredible possibilities for everything from scientific research to policymaking. But there's a catch: LLMs can sometimes produce inaccurate or misleading information, and it's often hard to understand *why*. This lack of transparency can make it difficult to trust LLMs, especially when it comes to important decisions. Researchers are tackling this challenge head-on with innovative approaches like the BUMPER framework. BUMPER stands for Building Understandable Messaging for Policy and Evidence Review. It's designed to make LLMs more transparent and accountable. Imagine having a conversation with an AI about a complex scientific study. BUMPER allows the AI to interact with the original research data and code, ensuring its responses are grounded in evidence. What sets BUMPER apart is its built-in "compliance score." This score indicates how well the AI's answers align with the study's original purpose and guidelines. It acts like a truthfulness meter, helping us understand whether the AI is on the right track. Think of it like a fact-checker for AI. The higher the compliance score, the more confident we can be in the AI's response. Researchers tested BUMPER with real-world examples, including a model for measles control programs. They found that BUMPER not only improved the accuracy of the AI's responses but also helped policymakers better understand the scientific evidence behind important decisions. BUMPER isn't just about making AI more trustworthy; it's about making complex information more accessible. By bridging the gap between dense research papers and everyday language, BUMPER empowers policymakers and the public to engage with scientific evidence in a meaningful way. This is a big step towards harnessing the full potential of AI while ensuring it remains a tool we can rely on. The future of AI depends on trust, and frameworks like BUMPER are paving the way for a more transparent and accountable AI-powered world.