In the light of today’s potential of data-driven organizations, public sector actors can leverage data to augment their decision-making processes. This can mean predicting events or suggesting ways to deal with particular situations, like the availability of ICU beds in hospitals or the potential threat of tax fraud at custom borders. In many contexts, this enables the public sector to be one step ahead of the game.
Public sector organizations need to make sensible decisions based on insights they must analyze and consider. The number of relevant variables is immense and relies on interdependences that are almost impossible to track with the human eye. Moreover, observed patterns and potential treats often need to be tackled in real time.
AI in synergy with the government:
AI can help to anticipate certain development trends, enhancing the long-term planning of political measures. Also, patterns in data can be detected, connections determined, and processes depicted, which enables the fact-based assessment of circumstances created by certain changes.
To achieve a synergistic relationship between AI and government is to combine the speed of AI in collecting and analyzing information with humans’ superior intuitive judgement and insight.
AI augments, the human decides:
It is crucial to underline that AI, by leveraging predictive and prescriptive analytics, only augments the human without taking over the decision-making power. With explainable AI, public services remain in control and build on the empowering insights provided by what technology has best in store.
Graph 1: Use Cases for “Decision Making” in the Public Sector