Research on the application of smart supply chain finance in the financing of private scientific and technological enterprises in China

Supply chain finance (SCF) has experienced the development stages of offline SCF, online traditional SCF, and Internet SCF, and has developed to the stage of smart supply chain finance (SSCF) driven by digital technology in China. We analyze the theoretical framework of SSCF model from three aspects: loose coupling alliance organizational structure, visual operation and management process and symbiotic multi-agent coordination mechanism. In the financing of private scientific and technological enterprises, SSCF will show smart effects such as intelligent decision-making, harmonious service, penetrating management and digital risk control. Further, the process of SSCF providing financing services for private scientific and technological enterprises is designed. Finally, in view of the problems and challenges faced by private scientific and technological enterprises in the application of SSCF, we put forward countermeasures and suggestions from the aspects of expanding the dimension of smart transformation, building a perfect regulatory system and legal system, and strengthening the cultivation of compound talents in this paper

Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed?

As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or Facebook invest significantly into AI, thereby underlining its relevance for business models worldwide. For the highly data driven finance industry, AI is of intensive interest within pilot projects, still, few AI applications have been implemented so far. This study analyzes drivers and inhibitors of a successful AI application in the finance industry based on panel data comprising 22 semi-structured interviews with experts in AI in finance. As theoretical lens, we structured our results using the TOE framework. Guidelines for applying AI successfully reveal AI-specific role models and process competencies as crucial, before trained algorithms will have reached a quality level on which AI applications will operate without human intervention and moral concerns

First Steps Towards an Ethics of Robots and Artificial Intelligence

This article offers an overview of the main first-order ethical questions raised by robots and Artificial Intelligence (RAIs) under five broad rubrics: functionality, inherent significance, rights and responsibilities, side-effects, and threats. The first letter of each rubric taken together conveniently generates the acronym FIRST. Special attention is given to the rubrics of functionality and inherent significance given the centrality of the former and the tendency to neglect the latter in virtue of its somewhat nebulous and contested character. In addition to exploring some illustrative issues arising under each rubric, the article also emphasizes a number of more general themes. These include: the multiplicity of interacting levels on which ethical questions about RAIs arise, the need to recognise that RAIs potentially implicate the full gamut of human values (rather than exclusively or primarily some readily identifiable sub-set of ethical or legal principles), and the need for practically salient ethical reflection on RAIs to be informed by a realistic appreciation of their existing and foreseeable capacities

Research on development of Finance Technology in China

Finance Technology is the integration of technology and finance. For technology especially in computer communication area such as internet has provided open sharing environment and concept of mutual involved. The strong idea has lead to advanced advantage on data acquisition and quantities’ analysis.  Another one, finance with internet know-how can easily achieve the asset resources allocation and reduce unbalanced asymmetric information. In recent years, these Chinese technology companies are heavily partnering with finance industry. On the other hand, the traditional financial institutions in China invest millions dollars into technology for the finance technology integration.  Finance and Technology are combined together that enable the reform of China's financial industry. Furthermore, the new direction has built different kind of financial ecological environment. These FinTech companies are the highlight of China’s economic development and growth. However, during the process of development, the unexpected risk has gradually exposed.  For example, recently some large-scale P2P platforms in China have many undelivered payments to their clients or the credit crisis from their investors. Unlike traditional banks, the FinTech has "crossover", "mixed" and "virtual" characteristics that also carries both financial and internet risk, highly infectious and relevant. If governments miss the trigger point of danger, it is easy to cause systemic risk in China. Currently, Chinese governments adopt the monitoring system is "separate operation, and separate supervision". Apparently, this regulatory system is definitely lagged behind the development of Chinese Fin Tech. Keywords: finance technology, internet finance, P2P, financial risk, regulator

AI, Robotics, and the Future of Jobs

This report is the latest in a sustained effort throughout 2014 by the Pew Research Center's Internet Project to mark the 25th anniversary of the creation of the World Wide Web by Sir Tim Berners-Lee (The Web at 25).The report covers experts' views about advances in artificial intelligence (AI) and robotics, and their impact on jobs and employment

Ethical problems of smart wearable devices

The stock market plays a major role in the entire financial market. How to obtain effective trading signals in the stock market is a topic that stock market has long been discussing. This paper first reviews the Deep Reinforcement Learning theory and model, validates the validity of the model through empirical data, and compares the benefits of the three classical Deep Reinforcement Learning models. From the perspective of the automated stock market investment transaction decision-making mechanism, Deep Reinforcement Learning model has made a useful reference for the construction of investor automation investment model, the construction of stock market investment strategy, the application of artificial intelligence in the field of financial investment and the improvement of investor strategy yield

Cyber Infrastructure Protection: Vol. III

Despite leaps in technological advancements made in computing system hardware and software areas, we still hear about massive cyberattacks that result in enormous data losses. Cyberattacks in 2015 included: sophisticated attacks that targeted Ashley Madison, the U.S. Office of Personnel Management (OPM), the White House, and Anthem; and in 2014, cyberattacks were directed at Sony Pictures Entertainment, Home Depot, J.P. Morgan Chase, a German steel factory, a South Korean nuclear plant, eBay, and others. These attacks and many others highlight the continued vulnerability of various cyber infrastructures and the critical need for strong cyber infrastructure protection (CIP). This book addresses critical issues in cybersecurity. Topics discussed include: a cooperative international deterrence capability as an essential tool in cybersecurity; an estimation of the costs of cybercrime; the impact of prosecuting spammers on fraud and malware contained in email spam; cybersecurity and privacy in smart cities; smart cities demand smart security; and, a smart grid vulnerability assessment using national testbed networks.https://press.armywarcollege.edu/monographs/1412/thumbnail.jp

The Legal Regulation Model of Open Banking in China

Although open banking has been developed rapidly in China since 2018 there is not a clear legal regulatory framework Open banking can stimulate competition provide better services to customers and reduce the traditional screen-scrapping risk However it causes concerns over data security customer privacy data abuse and challenges to current Chinese regulatory system Therefore it is necessary to establish a better regulatory system for open banking in China Through learning from regulation forms in other jurisdiction it is found that active guidance regulation is more appropriate for China which requires government to provide standards for open banking but not force banks to share data Under the Active Guidance model it is necessary to improve current Chinese regulatory and legal regime including establishing feasible rules for data portability implementation constructing a multi-level regulatory system for data sharing as well as changing data privacy protection mode from Notice- Consent to Data Autonom