Colin Megill is a technologist and co-founder of Pol.is, an AI-powered platform designed to discover common ground in polarized discussions and build bridge-making consensus. Developed in response to the communication challenges revealed during Occupy Wall Street and the Arab Spring, Pol.is applies advanced statistics and machine learning to gather and analyze large-scale input from thousands of participants, identifying points of convergence rather than amplifying points of division. Unlike social media algorithms that prioritize engagement through polarization, Pol.is's algorithm actively elevates ideas that bridge different perspectives, enabling diverse groups to find consensus even on contentious issues. The platform gained international recognition when Taiwan's government integrated it into its vTaiwan initiative for participatory democracy, and Twitter adapted the technology to power its Community Notes fact-checking feature.
Megill's work addresses a fundamental challenge of digital democracy: how to facilitate authentic dialogue and collective decision-making at scale in contexts where algorithmic amplification typically drives polarization. By combining computational methods with deliberative principles, Megill has created infrastructure for what he terms "computational democracy"—using AI not to replace human judgment but to enable humans to better understand each other and find common ground. His contributions exemplify how technology, when designed with democratic principles at its core, can strengthen rather than undermine civic participation and consensus-building.