AI Constituent: Use of AI as Approximation of Public Opinion
by Tran Khai
Investigate whether current AI models match public sentiment on various issues through matching aggregated polling records with the response from various models.
We'll also look into how AI models can be progressively trained to imitate the leaning of the general public on various issues, and propose potential ways to mitigate the risk of erosion of direct democratic processes.
This use of AI for public opinion can be vastly beneficial to politicians and policymakers - while there are risks associated, it can be used as an alternative and easily available way to gauge public sentiment, which enables faster lawmaking.