构建开源协作平台，用AI提升政策制定的透明与包容性
Creating a Cooperative AI Policymaking Platform through Open Source Collaboration
- 融合经济数据与文本的多模态大模型支持政策预测
- 算法机制采集多元观点，生成数据驱动的政策建议
- 开放平台促进公众参与，推动透明化决策
人工智能的进展带来重大风险与机遇，亟需改进治理以减轻社会危害并促进公平收益。当前激励机制和监管滞后可能阻碍负责任的AI发展与部署，尤其在大语言模型具有变革潜力的背景下。为此，我们提出三项贡献：（1）构建一个大型多模态文本与经济时间序列基础模型，整合经济与自然语言政策数据以增强预测与决策能力；（2）设计算法机制以获取多样且具代表性的观点，支持生成数据驱动的公共政策建议；（3）开发由AI驱动的网络平台，支持透明、包容且数据驱动的政策制定。
原文摘要 · Abstract (English)
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.
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