Traditional Culture Encyclopedia - Traditional culture - Which of the following aspects is involved in the data ethics dilemma?
Which of the following aspects is involved in the data ethics dilemma?
1, the first is the problem of privacy leakage.
In modern society, people are exposed to smart devices almost all the time, and data are generated and recorded all the time. If network platform operators are allowed to collect, store and sell user data, personal privacy will be impossible.
2. The second is information security.
Data generated by individuals includes data generated actively and data left passively. The right to delete, store, use and know should belong to the individual's independent rights, but in many cases it is difficult to guarantee security. Some information technologies have security loopholes, which may lead to data leakage, forgery, distortion and other problems, affecting information security.
3. The third problem is the digital divide.
Some people can better possess and use big data resources, while others find it difficult to possess and use big data resources, resulting in the data gap. The digital divide will lead to unfair distribution of information dividends and aggravate group differences and social contradictions.
How to face the dilemma of data ethics
Aiming at the ethical problems caused by big data technology, the corresponding ethical principles are established. First, the principle of harmlessness, that is, the development of big data technology should adhere to the people-oriented principle and serve the healthy development of human society and the improvement of people's quality of life.
The second is the principle of unity of power and responsibility, that is, whoever receives it is responsible and whoever uses it is responsible. The third is to respect the principle of autonomy, that is, the right to store, delete, use and know data should be fully given to data producers. In real life, in addition to following these ethical principles, we should also take necessary measures to eliminate the ethical risks caused by big data alienation.
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