Data for policy-making thanks to artificial intelligence

The presentation of statistical data, collected thanks to artificial intelligence, allows us to present society as accurately as possible. Indeed, the presentation of statistical data makes it possible to deconstruct the complexity of reality by classifying it into categories. This deconstruction allows data to emerge for political decision-making.

Presentation of statistical data thanks to artificial intelligence: for a more accurate analysis of our societies

The presentation of statistical data to political decision-makers allows them to have a description as close as possible to economic, social and political realities.

The figures that result from the presentation of statistical data are therefore an argument for political decision-making. They make it possible to judge the quality of a given policy and to measure its effects precisely.

When data for political decision-making allows for better judgement

The evaluation of a public policy involves assessing its effectiveness, efficiency and coherence. But this assessment is subjective and the success of a policy therefore varies according to the actor who judges it. The presentation of statistical data based on figures therefore makes it possible to overcome the inevitable subjectivity of interpretation. Indeed, presented as data for political decision-making, these figures make it possible to adequately account for the difference between desired and achieved results.

On the other hand, artificial intelligence can make laws that are sometimes complicated to understand and interpret intelligible to everyone.

The use of data for political decision-making: concrete examples

This leads a significant number of citizens to give more credit to artificial intelligence. For example, a quarter of French people say they would accept to delegate some of the governmental decision-making to artificial intelligence (a study published by a research centre of the University of Madrid on 2,500 people in 8 European countries). Artificial intelligence has also been shown to be capable of spotting fake news by analyzing social content. This ability can be continuously improved as artificial intelligence increasingly works through machine learning. A mechanism that refers to the autonomous learning of machines without them having been programmed to do so.

Another striking example: in 2018, during municipal elections in Japan in the city of Tama (150,000 inhabitants), an artificial intelligence presented in the form of a robot won 9% of the votes cast.

In reality, even if these examples seem to show the contrary, artificial intelligence cannot replace political decision-making. In fact, it is and remains a data collection tool for political decision-making. Thus, no artificial intelligence would be capable of proposing measures to resolve the Russian-Ukrainian conflict or the yellow waistcoat crisis.

Artificial intelligence and semantic analysis for a better presentation of statistical data

Far from wanting to hide the potential negative aspects of artificial intelligence, its use in data collection for political decision-making brings many positive aspects.

At Inoopa, we have developed a search engine based on artificial intelligence coupled with semantic analysis. Thanks to this combination, we are able to present statistical data that is useful for policy-making. Several public bodies, such as the Flemish government and the King Baudouin Foundation, have chosen to place their trust in us. Would you like to see how it works? Visit our website to try out our tool for free. 

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