Terrorism and Data Mining Algorithms

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Data mining presents the most significant advancement currently in the line of analysis and identification of terrorists. The US government has increased its deployment and development of these algorithms despite the privacy issues concerns. However, this is a necessary evil as the nation’s security has to be prioritized since these attacks lead to harm to a larger population compared to the infringements. Moreover, even though it might be challenging to forecast such activities, data mining offers a starting point for tracking these activities instead of other measures. Therefore, the government must heighten this deployment and development for the nation’s safety and security.

This continued use is likely to lead to more and more false identifications. Such individuals may feel violated and may even seek legal redress. However, they need to understand that this process is for their safety and security. It is pointless to claim privacy rights violation when such infringement is done for the individual’s best interest to ensure their continued enjoyment of their citizenship rights without the fear of terror attacks and such malpractices.

Nonetheless, it is vital to maintain a balance between the common good and rights and between the need to conduct actions within the confines of liberal communitarian values and the need to take action. This is why the balance is best struck on a case-by-case basis. In this regard, situations have to be analyzed and weighed to see which competing interest prevails. In the same way, there need to be mechanisms that control the extent to which such violations can occur. All in all, acknowledging that one side might supersede the other in specific scenarios and vice versa is the primary step toward achieving this balance.

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