In a democratic system, transparent elections and the principle of "one person, one vote" are essential. The delimitation (redistricting) process plays an important role in this. However, objections are often raised against traditionally conducted delimitation. This includes allegations of "gerrymandering," which is the manipulation of constituency boundaries for political gain. Using AI technology to avoid such objections and conduct impartial and transparent delimitation can be a modern alternative. This research studies how AI technology can increase transparency in redistricting by reducing human intervention through the analysis of algorithms like 'MCMC simulation' and 'Voronoi diagrams'. However, this technology also carries risks such as the 'black box' and 'automated gerrymandering'. This research addresses these issues and also suggests potential solutions.