标题： 通过开源协作创建协作式人工智能政策制定平台 显示英文标题

标题： Creating a Cooperative AI Policymaking Platform through Open Source Collaboration

摘要： 人工智能（AI）的进步带来了重大风险和机遇，需要改进治理以减轻社会危害并促进公平利益。 当前的激励机制和监管延迟可能阻碍负责任的AI开发和部署，尤其是在大型语言模型（LLMs）的变革潜力背景下。 为应对这些挑战，我们提议开发以下三个贡献：（1）一个集成经济和自然语言政策数据的大规模多模态文本和经济时间序列基础模型，以增强预测和决策能力，（2）用于获取多样且具有代表性的观点的算法机制，以支持数据驱动的公共政策建议的制定，（3）一个由AI驱动的网络平台，用于支持透明、包容和数据驱动的政策制定。 显示英文摘要

摘要： Advances in artificial intelligence (AI) present significant risks and opportunities, requiring improved governance to mitigate societal harms and promote equitable benefits. Current incentive structures and regulatory delays may hinder responsible AI development and deployment, particularly in light of the transformative potential of large language models (LLMs). To address these challenges, we propose developing the following three contributions: (1) a large multimodal text and economic-timeseries foundation model that integrates economic and natural language policy data for enhanced forecasting and decision-making, (2) algorithmic mechanisms for eliciting diverse and representative perspectives, enabling the creation of data-driven public policy recommendations, and (3) an AI-driven web platform for supporting transparent, inclusive, and data-driven policymaking.