There can be no argument that Big Data has become a saturated topic of discussion among software developers and data managers. And there lurks the danger of them starting to treat it as just a massive number, which might be true for them but not for the millions of humans who have generated or own that data. Here comes the need of Big Data ethics, which are required to ensure that those millions of humans are not cheated into parting with confidential information unknowingly.
What can be done?
Here are some views:
The proposals mentioned here are by no means exhaustive. However, these can be an outline on which companies can develop their data handling policies and mitigate risks related to privacy of Big Data. If we want a digital world that we would like to be fair to ourselves, we need to take care that we are fair with the data of others. Big Data is much more than just databases and algorithms that identify patterns, it is a tool for obtaining money and power. Therefore, like all other means of collecting riches, this also has to pass through tests of fairness and transparency.
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