How does big data work?
As the world begins to move into the age of big data, society will experience a similar crustal movement. While changing the way we live and think, big data has long been pushing us to reconsider our most basic norms, including how to encourage its growth and how to contain its potential threats. However, unlike the printing revolution, we don't have centuries to slowly adapt; we may only have a few years.
In the age of big data, tinkering with old norms is no longer enough to satisfy the need or curb the risks it poses; we need entirely new institutional norms. We need a different model of privacy protection, one that focuses more on holding data users accountable for their actions, rather than on obtaining approval from individuals at the outset of data collection.
Regulating big data technologies is the crux of the matter. First, there can be a shift from an emphasis on regulating the collection of big data to a focus on regulating the actual use of big data. Second, big data can be made less mysterious and less of a "black box" by increasing transparency and accountability in its application. A new profession could be created, called "algorithmists", who are specially trained in computer technology, statistics and data processing, to assess the use of big data to ensure that the public is comfortable with big data systems.
As for balancing privacy and national security, the ancient Greek philosopher Aristotle long ago posed the question, "How do we watch the guardians?" Even in his day, there was no easy answer to that question.
The real opportunity that big data brings us is to put together many pieces of information to serve our decision making. The biggest challenge in the era of big data is how to get "value" out of it. Getting the most value out of Big Data requires an exploratory approach to research. In the future, data scientists will be in demand, and such scientists should be familiar with the business environment as well as operational knowledge.
A lot of the problem lies in the use of data! As data is an asset, it is a matter of management, and therefore "data governance" becomes more and more important. The information world also needs a convention, the theft of other people's data is considered a crime, the attack on other people's systems is considered a crime, from the criminal law is clearly defined, *** with the creation of a civilized and orderly digital life, should be our ideal. In the era of big data, we need to follow up on this aspect as soon as possible, such as conducting inter-state dialog to form a convention.
Businesses use data mining technology for accurate advertising, which also involves privacy issues. A teenage girl received ads for baby products, and her father was furious and wanted to sue the business. The truth is that the teenager is unmarried and pregnant. In this story, the enterprise used the customer shopping data collected by itself and used the data mining software developed by itself, and the whole process was fine. But the fact is that it violates personal privacy and should be firmly opposed. There should be some legal issues here that need to be carefully studied.
In the era of big data, data as a resource, not to be **** enjoy is the trend." In that case, data utilization must require value exchange. Under the premise of determining the rights and interests of data, the use of data is paid use. The law needs to define the rights and interests of data, the government defines the type of data (which is private, which involves national security) and so on, so that the circulation of data has a legal basis.
At this stage, before the laws and regulations are clear, the security of data resources should be highly concerned from the perspective of national security. As an individual, we should understand that "actions may generate data", so we need to be careful when some behaviors involve privacy.
On a broader scale, data that is publicly available on the public ****network should belong to all of humanity, and anyone has the right to access, use, and benefit from it. This will enable greater utilization of data resources, and allow data to bring more convenience to human life and production, which is important for the progress of human society.