Creating a Cooperative AI Policymaking Platform through Open Source Collaboration
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 ligh...
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| creator | Lewington, Aiden Vittalam, Alekhya Singh, Anshumaan Uppuluri, Anuja Ashok, Arjun Ashrith Mandayam Athmaram Austin, Milt Smith, Benjamin Weinberger, Charlie Sarin, Chatanya Bergmeir, Christoph Chang, Cliff Patel, Daivik Li, Daniel Bell, David Cao, Defu Shin, Donghwa Kang, Edward Zhang, Edwin Li, Enhui Chen, Felix Smithline, Gabe Chen, Haipeng Gasztowtt, Henry Shin, Hoon Zhang, Jiayun Gray, Joshua Khai Hern Low Patel, Kishan Lauren Hannah Cooke Burstein, Marco Kalapatapu, Maya Mittal, Mitali Chen, Raymond Zhao, Rosie Sameen Majid Potlapalli, Samya Wang, Shang Patel, Shrenik Li, Shuheng Komaragiri, Siva Lu, Song Siangjaeo, Sorawit Jung, Sunghoo Zhang, Tianyu Mao, Valery Krishnakumar, Vikram Zhu, Vincent Kam, Wesley Li, Xingzhe Liu, Yumeng |
| description | 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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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). 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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). 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| identifier | EISSN: 2331-8422 |
| ispartof | arXiv.org, 2024-12 |
| issn | 2331-8422 |
| language | eng |
| recordid | cdi_proquest_journals_3143055664 |
| source | Free E- Journals |
| subjects | Artificial intelligence Economic forecasting Large language models Public policy |
| title | Creating a Cooperative AI Policymaking Platform through Open Source Collaboration |
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