Smarter Policymaking Using Machine Learning

The Problem

Policymaking, by nature, is a lengthy and complex process. The process of gathering data to support new policies or to prove their effectiveness is especially challenging for policymakers. It would help immensely if data from multiple sources could be used to generate better policies that actually improve people’s lives. How can AI help with this?

Solution

Machine learning models deployed on Kranium can consume and analyse data from multiple sources to aid policymakers in generating more effective and targeted policies that have a bigger and positive impact on people’s lives. Such models can help policymakers in all stages of policymaking.

Machine learning models can also help evaluating new policies by simulating the impact of policies on various aspects. For instance, in New Orleans, AI helped generate better data-driven policies for ambulance placements that helped poor neighbourhoods receive services faster. In another instance, UK government adopted AI to estimate the impact of carbon tax on emissions and business productivity.