AI Legislator Web Application

This project is a sub-project, and part of a larger partnership with Humanity Unleashed to build an AI Legislator. The partnership aims to develop a comprehensive AI-driven framework for understanding, predicting, and proposing policies using multivariate time series and legislative data. It consists of several teams working on different aspects: curating large datasets from US law and time series data, developing value elicitation algorithms for understanding user values and proposing policies, building user-friendly frontends for public policy and legislation analysis, pretraining large foundation models for time-series prediction, designing specialized model architectures, and establishing scaling laws for time-series models. The project seeks to leverage AI and deep learning to bring transparency, efficiency, and effectiveness to policymaking and public policy analysis, ultimately creating an ecosystem where both citizens and legislators can interact with data-driven insights and AI-generated recommendations.

This team will design a beautiful and useful interface for legislators, public policy academics, and engaged citizens. They will use the data generated from the Dataset team and predictions from the Economics Transformer to display several timeseries in tandem in delightful manner to the user, as well as bringing further transparency to the federal policymaking process and summarizing existing and proposed bills with AI. The interface will also be able to recommend policies and timeseries to the user through the Value Elicitation team’s algorithm. A login feature and simple overall interface should also be created. Finally, “pinning” specific policies and timeseries should be made available to the user, which could also serve as a form of data to the Value Elicitation team.