Governmental Use of Predictive Analytics and Invasion of Privacy

GOVERNMENTAL USE OF PREDICTIVE ANALYTICS AND INVASION OF
PRIVACY
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Table of Contents
Introduction....................................................................................................................2
Literature review............................................................................................................2
Conclusion......................................................................................................................4
References......................................................................................................................6

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Introduction
This report intends to provide an extensive literature review on the governmental use
of predictive analytics and invasion of privacy. The utilisation of artificial intelligence as well
as the predictive analytics permits the governments to specifically target the likely problems
prior it erupts into the crises. The recent developments in the natural language processing, the
machine learning as well as the image and speech recognition have provided to opportunity to
the government for predicting and anticipating the problems instead of just reacting on the
problems. Form the spotting of fraud to the combatting of the opioid epidemic, any
significant ounce of the prevention significantly work any pound of cure specifically in the
government. The predictive analytics is presently being applied in the vast range of the areas
that includes the security, defence, healthcare as well as the human services.
Literature review
The predictive analytics could be considered as the scientific discipline that permits
the decision makers with the undertaking of improved choices. It mainly utilises the
functionality of data mining, the mathematical analysis as well as modelling for making
effective predictions, calculate the probabilities and the forecast the future trends as well as
the behaviours (Sprague, 2015). When it is properly implemented, the predictive solution
could inform a repeatable as well as automated process that concludes an unbiased
conclusion free of the human subjectivity. The predictive analytics is mainly executed with
the help of the big data that is collected from within the organisation and then it is utilised for
executing the predictions. While rise of the big data yields significant opportunities for the
individuals, the organisations as well as the society at large, it also increases the importance
of the ethical and privacy issues (Sprague, 2014). These particular issues are the factors that
might lead to the situations where any underlying models of analytics as well as the