This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
ApartSprints
AI Policy Hackathon at Johns Hopkins University
670822f88b8fdf04a35a4b76
AI Policy Hackathon at Johns Hopkins University
October 28, 2024
Accepted at the 
670822f88b8fdf04a35a4b76
 research sprint on 

AI Parliament

The AI Parliament project introduces an innovative approach to AI policy deliberation through a simulated parliamentary system. This technical solution addresses the growing need for structured, multi-perspective evaluation of AI policies. The system implements a novel debate simulation framework where AI agents, representing different societal stakeholders (corporate, academic, government, and civil rights), engage in policy discussions and voting processes. The implementation leverages advanced NLP techniques through the OpenAI API and a sophisticated vote decision service incorporating role-specific weights and sentiment analysis. Key innovations include a consistent voting mechanism, real-time debate monitoring, and integration with ArXiv for contemporary AI research topics.

By 
Anurag Dhungana, Prakriti Bista and Sunil Shah
🏆 
4th place
3rd place
2nd place
1st place
 by peer review
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This project is private