Strategies for limiting the negative effects of big Data

                      



                             

   Strategies for limiting the negative effects of big data

Big Data is drastically reshaping society through various ways. It plays a pivotal role in the enhancement of public services, such as traffic control and in the smart cities or the health domain by predictive diagnostics and new therapies for treating diseases. Data are used by the public sectors and other institutions to arrive at the most appropriate decisions, respond to different crises, and tackle global challenges such as climate change and poverty. Big Data helps to improve people's lives quality and acts as a catalyst to social progress if used effectively.

Furthermore, Big Data is a source of numerous problems. Firstly, privacy is a concern. Citizens cannot always figure out how much of their personal data is being tracked, analyzed, or even occasionally misused. Secondly, the issue of algorithmic bias arises, when the use of wrong or undocumented data causes the execution of biased decisions and, consequently, discrimination in employment, law enforcement, and the banking sector. A third point is that the power held by a few big tech companies, owners of the data, is perceived as a risk by many because of the strong power concentration and competition concerns.

However, Big Data should be managed in a manner respectful of equity and fairness in order to be of any use to society. This calls for quite a number of requirements including rigid data protection laws, the need for data to be used with the people's consent, and even ground for everyone to have access to the facilities and chances that data put forward. Only in this way Big Data will be an equalizer and a driving force for the progress, and not a factor of control and division.

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