John Kingdon in 1984, while formulating the Multiple Systems Frameworks had argued that different solutions are present for policy issues. Today, with the coming of Generative AI, can he be challenged that the majority of the policy issues today can be worked upon with the help of this new technology? At the same time the idea of an “unclear technology” does exist when a novel approach is proposed, there may be a lack of evidence regarding its effectiveness. Additionally, as various institutions and individuals participate in the decision-making process, new ideas or obstacles may emerge, contributing to the fluidity of the process.
In today’s day and age policymakers are struggling with complex challenges where different approaches to problems can be time taking, expensive and above all will need a lot of resources to implement.
Some very common challenges can be:
1- Data Analysis and Decision Support: With the heaps of data available today, it is quite impossible to search, analyze and then select a particular course of action. Like Herbert Simon in his Rational Model Framework suggests that these are the steps to take for a policy formulation. In today's digital era, the Simon model has sparked a trend towards data-driven decision-making, which is increasingly becoming prevalent.
