Artificial intelligence collection in China is gradually replacing debt collection companies. The P2P lending platform is experimenting with this new technology for debt repayment. Artificial intelligence searches the Internet for information about the debtor, including his contacts, contacts of his friends and relatives, and starts to call and send an SMS request for debt repayment. At the same time, with the help of semantic analysis, the robot outlines the other's psychological portraits, selects appropriate words, and forces him to pay debts. The P2P lending platform appeared in China about 10 years ago, and the market is growing at a three-digit rate every year. Not only do borrowers who are having difficulty borrowing money from banks need the product, but creditors who are looking for new investment opportunities are also willing to provide their own funds through the P2P platform to obtain high interest rates. The Chinese government did not respond to the market until the big P2P platforms such as e-Tibet and Qbao did not become financial pyramids. However, the new adjustment measures are mainly to combat those dishonest platforms. At the same time, the Chinese government has not yet regulated the regulations on debt repayment. According to the information of the online loan management industry portal “Net Loan Homeâ€, the maturity debt of the P2P borrowing platform has reached 1.3 trillion yuan (200 billion US dollars). Therefore, there is a demand for very debt collection methods in the market. Some of them, for example, require the provision of nude photos as collateral, or send a "square dance aunt" to the debtor's home to dance in the sound of deafening music, etc., which has attracted the attention of Chinese law enforcement agencies. However, as Liu Ying, a researcher at the Chongyang Financial Research Institute of Renmin University, pointed out in an interview with the Satellite News Agency, the application of artificial intelligence to collect debts is still legal. Liu Ying said: "I believe that there must be legal boundaries. The artificial intelligence collection system can collect and collect debts from the upper, middle and lower reaches of the business, and request repayment by e-mail, texting and telephone calls. However, the collection of information should be legal. If it is to integrate the government's publicly released data, establish its own internal database, or use the Internet company's own operating advantages to integrate the Internet data accumulated by the company itself, and find the borrower's contact information or assets. There is no problem, but if the user's personal information is purchased through the so-called external “big data provider†or the use of illegal means to obtain user privacy in the acquisition and use of data, it may constitute infringement or even illegal crime. In addition, the legality of the collection method is also worthwhile. Note that artificial intelligence collection cannot limit or affect other people who are not related to debt. For example, some debt collection companies send malicious messages to borrowers' friends and even those they know by checking the mobile phone numbers of their relatives and friends from the address book. Harassing or even insulting, invading him Personality rights and reputation rights constitute infringement, but they are suspected of violating the law. Some debt collection companies adopt openness or inform the specific relatives and business partners of the debtor’s untrustworthiness. This is not illegal, but once information and facts are released. Disagreement also constitutes infringement. Therefore, the limits and boundaries of urging through artificial intelligence require strict legal intervention. The application of science and technology cannot cross the bottom line of the law. The innovation of financial technology is inseparable from the supporting professional supervision system and needs to be related. Legislation as a guarantee." However, the use of artificial intelligence to collect the current grasp of some Chinese people's pain points, for example, because of debts, in front of friends and relatives feel ashamed. For example, Shanghai Asset Processing Service Provider Yitong has launched artificial intelligence to repay debt. The machine itself looks for debtor contacts and profiles on the Internet, finds his friends' information on social networks, and calls and texts everyone. Artificial intelligence uses semantic analysis and big data processing methods to map the debtor's heart to select the most convincing debt collection strategy. The machine asks friends and family to influence the debtor that they are familiar with. This strategy works well. The system has helped nearly 200 creditors recover their debts, including Alibaba and China Postal Savings Bank. According to the data of the company, the efficiency of artificial intelligence is twice that of traditional debt collection companies. In May alone, it recovered 41% of the debt, while the debt collection company's success rate was only 20%. Liu Ying pointed out that the success of artificial intelligence lies in P2P and microfinance, which are all technical types of financial services. Therefore, artificial intelligence is easy to implant in it. Liu Ying went on to say: "First of all, the effective application of artificial intelligence in the collection field is actually the embodiment of technological finance innovation to improve financial efficiency. The reason why it can be applied in a wide range and does not require a lot of practical manpower is because of the development of science and technology. Reduced financial costs and improved marginal efficiency and economic benefits. Especially in terms of marginal cost, the marginal cost in traditional economics is higher, and the application of financial technology will reduce the marginal cost to almost zero, and the fixed cost can also be reduced by about 30%. Metcalfe's law, one of the three laws of the Internet, believes that the value of the network is directly proportional to the square of the number of users connected to the network. The application of artificial intelligence in the collection field has indeed improved efficiency and reduced economic costs. Secondly, artificial intelligence The reason why it can be applied in the collection field is effective because Internet finance such as cash loan is a kind of financial technology itself. Internet finance and technology credit have the characteristics of online, recordable, traceable and linkable, which enables them to work with humans. Smart, blockchain technology and other technologies work well together, through big data To more accurately determine the borrower's repayment ability and credit, capital flows and to master the use of the borrower, discover hidden property information. " Under the condition that the Chinese government severely cracks down on bad credit, the amount of arrears will inevitably increase due to difficulties in refinancing. Not only big companies like Alibaba and Tencent, but even traditional banks will try to develop financial industry technology. Considering the digital banking system that exists in the future under strict credit restrictions, it can be speculated that the demand for machine debt collectors can only increase. Hd Screen Protector,High-Definition Screen Protector,Hd Clear Screen Protector,Transparent Screen Film Shenzhen TUOLI Electronic Technology Co., Ltd. , https://www.hydrogelprotector.com