Research and Application of Artificial Intelligence and Big Data Technology in the Automated Process of Online Reimbursement System

Author(s):  
Zhang Wei
2016 ◽  
Vol 16 (4) ◽  
pp. 219-224 ◽  
Author(s):  
Alex Smith

AbstractIn a world where articles and tweets are discussing how artificial intelligence technology will replace humans, including lawyers and their support functions in firms, it can be hard to understand what the future holds. This article, written by Alex Smith, is based on his presentation at the British and Irish Association of Law Librarians conference in Dublin 2016 and looks at demystifying the emerging technology boom and identifies the expertise needed to make these tools work and be deployed in law firms. The article then looks at the skills and expertise of the knowledge and information teams, based in law firms, and suggests how they are ideally placed to lead these challenges as a result of their domain expertise and their existing, well defined skills that are essential to this new generation of technology. The article looks at the new technical environment, the emerging areas of products and legal problems, the skills needed for the new roles that this revolution is creating and how this could fit into a reimagined knowledge team.


2020 ◽  
Vol 20 (3) ◽  
pp. 889-907
Author(s):  
Keliang Chen ◽  
Yunxiao Zu ◽  
Yansong Cui

Along with the development of computer and information technology and the arrival of the digital reading wave, more and more users have switched the way they meet their reading needs to digital reading systems, At the same time, a variety of digital reading systems have also been created. However, most digital reading systems focus on how to present a better reading style, but little research has been done on how to use artificial intelligence and big data technology to provide intelligent information services and user behavior analysis. In such a large environment, a digital reading system that can provide reading behavior collection and intelligent analysis, while providing intelligent reading analysis function, will have broad research prospects. The digital reading system studied in this paper can provide reading behavior analysis and intelligent recommendation service for professional users based on artificial intelligence and big data technology. At the same time, the system uses artificial intelligence technology to realize the functions of bilingual learning reading, new word induction records, etc., which can provide users with knowledge efficiency. In addition, the system utilizes big data technology to provide users with information services such as communication content exchange. The main innovations of this digital reading system are computer automatic clauses based on Chinese and English syntax features, data layering processing mechanism that takes into account the speed and quality of book analysis, and book encryption and decryption schemes across computer systems. The system is based on a C/S and B/S fusion architecture and includes a reading system based on PC and Android.It can present customized ePub electronic resources, and collect users’ reading behavior through mobile screen or mouse and other devices, then use artificial intelligence and big data technology to analyze user data, and finally generate user reading reports. At present, the whole system has been applied in many universities, and the reading level of students and the work efficiency of teachers have been greatly improved, which proves that this digital reading system has high practical value.


Author(s):  
Steven Feldstein

This chapter examines how artificial intelligence (AI) and big-data technology are reshaping repression strategies and why they are a boon for autocratic leaders. It explores two in-depth scenarios that describe potential state deploy AI and big-data techniques to accomplish political objectives. It presents a global index of AI and big-data surveillance that measures the use of these tools in 179 countries. It then presents a detailed explanation for specific types of AI and big-data surveillance: safe cities, facial recognition systems, smart policing, and social media surveillance. Subsequently, it examines China’s role in proliferating AI and big-data surveillance technology, and it reviews public policy considerations regarding use of this technology by democracies.


Author(s):  
Ruslan Mikhailovich Ushakov Et al.

The article discusses various aspects of the use of Big Data technology in forensic activities. Based on the analysis of legislation, the provisions of the legal doctrine, and the existing experience of using various forms of artificial intelligence in human life, the authors indicate possible directions for their implementation in forensic practice (first of all, in the work of an expert), and identify dialectically related risks and problems of a conceptual and legal nature. The necessity of developing and issuing several legal measures aimed at preventing the negative consequences of the spread of Big Data technology, in particular, a general legislative ban on the adoption of legally significant decisions by law enforcement entities based solely on the conclusions obtained by program methods, is substantiated.


2018 ◽  
Vol 10 (01) ◽  
pp. 47-55
Author(s):  
Wei SHAN

To guarantee a “successful” 19th Congress of the Communist Party, the Chinese regime had mobilised all its resources to maintain stability in 2017. With sophisticated internet censorship, artificial intelligence and big data technology, social control mechanism in the country has become “smarter”, more effective and more successful in reducing social unrest. In the long term, however, it may face challenges due to value changes in society.


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