Imagine a world where AI could help negotiate peace in war-torn regions. That's the intriguing possibility explored by researchers at Harvard, who investigated how large language models (LLMs) could assist in the complex and high-stakes world of humanitarian frontline negotiation. These negotiations, crucial for delivering aid and ensuring the safety of vulnerable populations, are often fraught with challenges. Negotiators must quickly process vast amounts of information, understand diverse perspectives, and build trust in high-pressure environments. The research team wondered if LLMs, with their ability to analyze text and generate creative solutions, could offer support. They developed AI tools based on ChatGPT to assist with key negotiation tasks, such as identifying common ground and mapping stakeholder influence. These tools were tested with real-world case studies and showed promising results, generating summaries and analyses comparable to those of experienced human negotiators—and in a fraction of the time. The team also interviewed 13 experienced negotiators to understand their needs and concerns. While negotiators saw the potential of LLMs for tasks like context analysis and brainstorming solutions, they also raised important ethical considerations. Confidentiality is paramount in these sensitive situations, and there were concerns about potential biases embedded in the LLMs, as well as the risk of over-reliance on AI. The research highlights the potential for LLMs to be valuable tools in humanitarian negotiations, but also emphasizes the need for careful consideration of the ethical and practical implications. Further research is needed to address concerns around bias and confidentiality, and to ensure that these powerful tools are used responsibly and effectively to support human negotiators in their critical work.