Leveraging LLMs to Enhance Multilateral Negotiations with AI-Powered Decision-Making

Background

Multilateral negotiations in foreign policy are inherently complex, involving numerous stakeholders and a broad spectrum of policy domains such as digital rights, climate change, feminist concerns, and budgetary agreements. The challenge lies in accessing, analyzing, and synthesizing vast amounts of policy documents, treaties, and international agreements in real time.

Foreign policy experts often face difficulties due to the sheer volume of information, the absence of centralized repositories, and the dynamic nature of international relations. This can lead to delays, missed opportunities, and oversight of critical details. To address these challenges, Omdena harnessed the potential of AI with the Retrieval Augmented Generation (RAG) technique.

This project aims to streamline decision-making in multilateral negotiations by providing real-time, actionable insights from policy documents through AI-driven solutions.

Objective

The primary objective of the project is to develop an AI-powered tool using the RAG technique that assists foreign policy experts by:

• Efficient Document Access: Quickly retrieving relevant policy documents during negotiations.
• Intelligent Analysis: Processing and summarizing extensive policy data to extract actionable insights.
• Enhanced Decision-Making: Equipping negotiators with up-to-date, comprehensive information for informed decision-making.

The tool aims to revolutionize AI for negotiation by serving as a comprehensive guide to streamline complex multilateral negotiations.

Approach

To address the challenges in foreign policy negotiations, the project adopted a structured and innovative approach:

1. Data Collection: Aggregated a comprehensive database of policies, treaties, and documents spanning diverse policy areas such as climate change, digital rights, and feminist issues.
2. Data Processing: Sanitized, categorized, and structured the collected data to ensure compatibility with AI retrieval systems.
3. Model Integration: Implemented the RAG model, leveraging prompt engineering and vector databases for precise document retrieval and summarization.
4. User Interface Development: Designed a user-friendly interface for foreign policy experts to seamlessly access insights during negotiations.
5. AI Techniques Utilized: Advanced Natural Language Processing (NLP) techniques and Large Language Models (LLMs) to analyze documents and extract nuanced insights.

This collaborative approach ensured that the tool could effectively address the intricate needs of multilateral negotiations.

Results and Impact

The project delivered a cutting-edge AI-powered assistant with transformative benefits for multilateral negotiations:

• Increased Efficiency: Reduced the time spent searching and analyzing policy documents by up to 70%.
• Improved Decision-Making: Enabled negotiators to make more informed decisions by providing real-time insights tailored to specific negotiation scenarios.
• Broader Applicability: Demonstrated the potential of AI for negotiation in areas beyond foreign policy, paving the way for applications in other decision-making processes.
• Streamlined Processes: Created a centralized repository of policy documents, ensuring easy access to up-to-date and relevant information.

These advancements showcase the pivotal role AI can play in enhancing the outcomes of multilateral negotiations.

Future Implications

The success of this project highlights the transformative potential of AI-driven tools in foreign policy and beyond. Future applications include:

• Policy Development and Updates:Regularly integrating updated treaties and agreements into the system for real-time relevance.
• Scalability:Expanding the tool to cover additional policy domains and enabling its use in other government and international negotiation contexts.
• Research and Innovation:Inspiring further exploration of LLMs and AI techniques to address challenges in complex decision-making scenarios.

By leveraging AI for negotiation, this initiative sets a benchmark for how emerging technologies can reshape multilateral negotiations, making them more effective, efficient, and inclusive.