Creating a Cooperative AI Policymaking Platform through Open Source Collaboration
Abstract
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.
Cite
@article{arxiv.2412.06936,
title = {Creating a Cooperative AI Policymaking Platform through Open Source Collaboration},
author = {Aiden Lewington and Alekhya Vittalam and Anshumaan Singh and Anuja Uppuluri and Arjun Ashok and Ashrith Mandayam Athmaram and Austin Milt and Benjamin Smith and Charlie Weinberger and Chatanya Sarin and Christoph Bergmeir and Cliff Chang and Daivik Patel and Daniel Li and David Bell and Defu Cao and Donghwa Shin and Edward Kang and Edwin Zhang and Enhui Li and Felix Chen and Gabe Smithline and Haipeng Chen and Henry Gasztowtt and Hoon Shin and Jiayun Zhang and Joshua Gray and Khai Hern Low and Kishan Patel and Lauren Hannah Cooke and Marco Burstein and Maya Kalapatapu and Mitali Mittal and Raymond Chen and Rosie Zhao and Sameen Majid and Samya Potlapalli and Shang Wang and Shrenik Patel and Shuheng Li and Siva Komaragiri and Song Lu and Sorawit Siangjaeo and Sunghoo Jung and Tianyu Zhang and Valery Mao and Vikram Krishnakumar and Vincent Zhu and Wesley Kam and Xingzhe Li and Yumeng Liu},
journal= {arXiv preprint arXiv:2412.06936},
year = {2024}
}