1. Ethics: refers to a series of concepts that guide behavior, and it is a philosophical reflection on moral phenomena from the perspective of concepts. It not only contains the code of conduct to deal with the relationship between people, people and society, people and nature, but also profoundly contains the profound truth of regulating behavior according to certain principles.
2. Science and technology ethics: refers to the moral standards and codes of conduct in scientific and technological innovation and application activities, and is a kind of moral philosophical thinking in concept and concept. It stipulates the values, codes of conduct and social responsibilities that science and technology should abide by.
4. Big data bumping into the database: "bumping into the database" means that hackers collect leaked user and password information on the Internet, generate corresponding dictionary tables, and try to log in to other websites in batches to obtain a series of users who can log in.
5. Big data "killing": The so-called big data killing refers to the phenomenon that different users see different prices or search results for the same goods or services, resulting in the damage of users' rights and interests. Usually, old users see more expensive prices than new users, or search results are less than new users.
6. What is an "information cocoon house"? "Information cocoon room" refers to the consequences of information closure caused by personalization of communication system. When individuals only pay attention to what they choose or can please themselves and reduce contact with other information, over time, they will gradually be trapped in the "cocoon room" of self-weaving like silkworms.
7. Reasons for the emergence of big data ethics: 1) Changes in human social values 2) Unclear subjects of data ethics 3) Interests of related subjects 4) Lack of moral norms; 5) Imperfect legal system 6) Imperfect management mechanism 7) Negative influence of technological utopia 8) Defects of big data technology itself.
8. Governance of ethical issues of big data: 1) Raise awareness of protecting personal privacy data; 2) Strengthen the construction of big data ethics and regulations; 3) Strive to manage big data with technology; 4) Improve big data legislation; 5) Improve the ethical management mechanism of big data; 6) Strive to carry forward the spirit of * * * and solve the digital divide.