British politician Andrew Gray employed artificial intelligence (AI) to create his platform-building manifesto, which he said was crowdsourced. The majority of politicians may not yet adopt Gray’s strategies, according to analysts.
In a surprising by-election for the North Yorkshire parliamentary district of Selby and Ainsty, Gray received 99 votes thanks to his AI-generated platform.
AI in the policy platform
Pol.is a platform created by a Seattle group a decade ago, was used by Gray to initially urge constituents to voice their concerns about regional issues on his website.
To find gaps between opinions and areas of agreement, the algorithm groups statements and maps them out in real-time using machine learning. Gray stated that he would make use of the technology once a week to gauge constituent complaints.
- British politician uses AI for crowdsourced platform manifesto.
- Algorithm uses machine learning to identify gaps in opinions.
- Encourage participation, not AI control, to avoid insincere engagement.
According to Stacy Rosenberg, an associate teaching professor in the Heinz College of Information Systems and Public Policy at Carnegie Mellon University, AI will have more profound effects on the electoral process, whether through crowdsourcing platforms for policy or using generative AI to create models for speeches and marketing materials.
She claimed that encouraging participation rather than giving AI-complete control of the process is the key. The biggest risk would be if a politician created a perception of “insincere” engagement by not supporting the opinions stated through this crowdsourcing approach.
Politicians who employ AI appear knowledgeable about cutting-edge technology, which may appeal to voters in younger groups or early adopters.
