I work on math topics these days but sometimes other topics should be discussed too. I shouldn’t talk about politics in specific countries but, as a social experiment that researchers around the world can study, the UK election can be an experimentation for testing new ideas. All elections are labs and new things are learned from each election.
In election campaigns, people should be involved in social programs. It’s not good to give people a booklet of policies some days before the election so people can study and decide which policy set is better. There should be programs where people are actively involved and influence plans and policies. This way people don’t vote for some other species called politicians, they are, in fact, voting for plans they’ve been involved in as well. Social gatherings for political purposes aim to blur the line between those who vote and those who are being voted. People feel they are part of a team and they vote for that team. But this is a basic approach. There are more effective ways to do that.
The idea is that different parties introduce projects to the public where people actively participate in shaping them. For example, COVID-19 exposed deficiencies in the government machine. In COVID enquiry Cabinet ministers and advisers blame civil servants and civil servants blame advisers. The solution is always something in between. Conservatives who were in charge during the pandemic are the right people to reshape the government machine based on experiences learnt from the pandemic.
On the other side, Labour and Lib Dems can work on another project. AI provides tools for large-scale social debates. They can help develop this project.
Green can develop a social ad project that aims to reshape customer/service provider connections and push them toward Green policies. In all these projects people actively participate in forming and shaping the projects. These projects don’t aim to address issues that influence the elections, things such as the cost of living, etc. The aim is to establish an environment where people are involved in shaping policies.
Of course, these are suggestions for academic research purposes and nothing more.
UPDATE 1:
AI is based on math formulas. For example, in LLMs based on evaluations of tokens (points in n-d space) and distances between them next words will be selected. These are mathematical operations. In large-scale debate, these math formulas should be replaced by social patterns. The distances between different ideas and viewpoints are determined by social patterns. For example, after some incident, a society might lean toward certain viewpoints and relate tokens that would otherwise not be connected. So the main aim of the large-scale debate project should be to replace math formulas with simple social patterns.