Recently, an article on the rights of doctoral students in law has appeared on social platforms such as Weibo and has attracted the attention of many netizens. The article mentions a current video social entertainment app, because it has a wide audience, so this article has been reprinted and posted by everyone, and has been pushed to the news hot search.
It is understood that the JD who wrote this article used this app to find that without the authorization of the address book, the software automatically recommended many friends to him, including the ex-girlfriend he did not want to mention. . Through many tests of the software, he is familiar with the law. He believes that this practice is a violation of citizens' privacy. He then sued the operator in the Beijing Internet Court, demanding that he immediately stop violating his privacy and compensate the economic loss of 60,000 yuan. .
At first glance, this is just a general prosecution of citizens for operations. In fact, this case reflects the privacy of China's big data. For the term privacy, the generally accepted definition of scientific research is "some attributes of a single user" that can be considered private as long as it conforms to this definition.
With the rapid development of artificial intelligence technology, it seems quite easy for companies to gain public privacy. Big companies such as Facebook, Twitter, Instagram, and Google have all had illegal access to public privacy. They collect people's data, including personality, habits, and identities, for certain illegal purposes. These behaviors have angered the masses and even triggered government attention. It can be seen that the issue of big data privacy and security is becoming very common in this highly digitized society.
In addition, big data killing is not uncommon. By collecting and analyzing big data, companies can well understand consumers' living habits, consumption behaviors, social attributes, spending power, etc., and quickly find accurate user groups. For those with higher spending power and loyal users of a certain product, the system will increase the price of the product in a timely manner, so that you can pay for your privacy leaks invisibly, these are just the tip of the iceberg that leaks reality.
According to a new study by the University of California at Berkeley, advances in artificial intelligence pose new threats to the privacy of people's health data. The CCTV "China Economic Life Survey" column and the Tencent Social Research Center held an "AI makes you happier" forum on artificial intelligence related survey reports also showed that 80% of respondents are worried that artificial intelligence will threaten their privacy, 30% Interviewers have already felt the threat that artificial intelligence poses to their work.
However, in the face of the rapid development of artificial intelligence, existing laws and regulations are simply not enough to protect the privacy of personal health data. Chen Guanghui, a judge of the Beijing Second Intermediate People's Court, said that the existing relevant laws and regulations are too principled and operability is not strong, and the definition of consumers' personal privacy in the era of big data is also a problem.
In this regard, Lu Bai, a well-known neuroscientist and professor at Tsinghua University, believes that data privacy and data ownership are important issues that need to be addressed in the further development of artificial intelligence. At the same time, the development of artificial intelligence can not be at the expense of privacy. Collecting and authorizing, using boundaries and storing should be protected. It is an important principle of high intelligence and privacy security in the era of artificial intelligence.
Big data security is about the tangible benefits of the state and individuals. From a personal perspective, big data security issues will lead to personal privacy leakage; from a national perspective, big data infrastructure attacks pose challenges to the maintenance of national sovereignty, so it is important to strengthen big data privacy protection*.
The European Union issued the General Data Protection Regulations (GDPR) in 2016. This General Data Protection Regulations emphasizes the user’s “expressed consent†in notifying consent, and does not endorse any form of “default consent†or “default consent†or "President consent" has largely protected people's privacy. China has also promulgated the "Network Security Law" clearly put forward the principle of "who collects and who is responsible" to protect privacy.
In the moment, how to protect security and privacy as much as possible in technology exploration and achieve a balance between technology exploration and privacy security has become a social problem that needs to be solved urgently in the development of artificial intelligence.
It is understood that the JD who wrote this article used this app to find that without the authorization of the address book, the software automatically recommended many friends to him, including the ex-girlfriend he did not want to mention. . Through many tests of the software, he is familiar with the law. He believes that this practice is a violation of citizens' privacy. He then sued the operator in the Beijing Internet Court, demanding that he immediately stop violating his privacy and compensate the economic loss of 60,000 yuan. .
At first glance, this is just a general prosecution of citizens for operations. In fact, this case reflects the privacy of China's big data. For the term privacy, the generally accepted definition of scientific research is "some attributes of a single user" that can be considered private as long as it conforms to this definition.
With the rapid development of artificial intelligence technology, it seems quite easy for companies to gain public privacy. Big companies such as Facebook, Twitter, Instagram, and Google have all had illegal access to public privacy. They collect people's data, including personality, habits, and identities, for certain illegal purposes. These behaviors have angered the masses and even triggered government attention. It can be seen that the issue of big data privacy and security is becoming very common in this highly digitized society.
In addition, big data killing is not uncommon. By collecting and analyzing big data, companies can well understand consumers' living habits, consumption behaviors, social attributes, spending power, etc., and quickly find accurate user groups. For those with higher spending power and loyal users of a certain product, the system will increase the price of the product in a timely manner, so that you can pay for your privacy leaks invisibly, these are just the tip of the iceberg that leaks reality.
According to a new study by the University of California at Berkeley, advances in artificial intelligence pose new threats to the privacy of people's health data. The CCTV "China Economic Life Survey" column and the Tencent Social Research Center held an "AI makes you happier" forum on artificial intelligence related survey reports also showed that 80% of respondents are worried that artificial intelligence will threaten their privacy, 30% Interviewers have already felt the threat that artificial intelligence poses to their work.
However, in the face of the rapid development of artificial intelligence, existing laws and regulations are simply not enough to protect the privacy of personal health data. Chen Guanghui, a judge of the Beijing Second Intermediate People's Court, said that the existing relevant laws and regulations are too principled and operability is not strong, and the definition of consumers' personal privacy in the era of big data is also a problem.
In this regard, Lu Bai, a well-known neuroscientist and professor at Tsinghua University, believes that data privacy and data ownership are important issues that need to be addressed in the further development of artificial intelligence. At the same time, the development of artificial intelligence can not be at the expense of privacy. Collecting and authorizing, using boundaries and storing should be protected. It is an important principle of high intelligence and privacy security in the era of artificial intelligence.
Big data security is about the tangible benefits of the state and individuals. From a personal perspective, big data security issues will lead to personal privacy leakage; from a national perspective, big data infrastructure attacks pose challenges to the maintenance of national sovereignty, so it is important to strengthen big data privacy protection*.
The European Union issued the General Data Protection Regulations (GDPR) in 2016. This General Data Protection Regulations emphasizes the user’s “expressed consent†in notifying consent, and does not endorse any form of “default consent†or “default consent†or "President consent" has largely protected people's privacy. China has also promulgated the "Network Security Law" clearly put forward the principle of "who collects and who is responsible" to protect privacy.
In the moment, how to protect security and privacy as much as possible in technology exploration and achieve a balance between technology exploration and privacy security has become a social problem that needs to be solved urgently in the development of artificial intelligence.
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