scholarly journals Access to Finance for Artificial Intelligence Regulation in the Financial Services Industry

2020 ◽  
Vol 21 (4) ◽  
pp. 731-757
Author(s):  
Joseph Lee
Keyword(s):  
Artificial Intelligence ◽  
Financial Markets ◽  
Financial Services ◽  
Policy Innovation ◽  
Market Manipulation ◽  
Policy Recommendations ◽  
Access To Finance ◽  
Ethical Concerns ◽  
Systemic Risks ◽  
Investment Advice

AbstractThis paper discusses the design of the legal and regulatory framework for using artificial intelligence (AI) in the financial services markets to enhance access to finance (financial inclusion). The author argues that the development of AI should continue to adhere to the regulatory objectives of market safety, consumer protection, and market integrity. However, to ensure equality and fairness, access to finance should be made a clear policy choice. In the first part, the author discusses how AI can lead to systemic risks and market manipulation on trading platforms. For example, by examining the use of algorithms for trading on the capital market, the author discerns the regulatory objectives and the possible methods of regulation for peer-to-peer platforms. In the second part, the author discusses how the use of AI to provide consumers with investment advice, such as financial advice provided from robo-advisers, can close the investment advisory gap and provide consumers with access to finance. The current regime does not provide adequate protection to financial consumers in this regard. In the third part, the author discusses how AI can be used as a form of RegTech to streamline compliance processes, thereby increasing competition in financial markets and providing a benefit to consumers. However, this use may be in conflict with privacy, data protection, and ethical concerns. The author makes policy recommendations and suggests some directions for governance in the use of AI in financial services to enhance access to finance. The findings of this paper are relevant to research on the future governance of AI in financial services, public policy innovation, and urban development.

scholarly journals Using Machine Learning and Artificial Intelligence Principles to Implement a Wealth Management System

2021 ◽  
Vol 10 (5) ◽  
pp. 26-31
Author(s):  
Prarthana Mukherjee* ◽  
Prit Palan ◽  
M. V. Bonde
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Financial Literacy ◽  
Financial Services ◽  
Financial Decisions ◽  
Advisory Service ◽  
Wealth Management ◽  
Investment Advice ◽  
Learning Principles ◽  
New Generation

Studies have shown that new generation of millennials have limited to no knowledge about managing their finances. This lack of awareness has created a need for financial literacy which is not only an essential employ-ability skill but also, a paramount life skill. Not only the younger generation but many individuals already in the corporate field are at their wit’s end when it comes to planning their finances and making correct financial decisions. This is where awareness in wealth management comes in. Wealth management is an investment advisory service. It also combines financial services to address the needs of individuals. It is more than just investment advice; it encompasses all parts of a person's financial life. The users can find all the information of different investments rather than integrating all the information from different places. They can generate a plan themselves or with the help of artificial intelligence and machine learning principles, manage their own and their family's current and future needs.

scholarly journals Artificial Intelligence and Its Use in Financial Markets

2020 ◽  
Vol 11 (5) ◽  
pp. 353
Author(s):  
Lilia Mirgaziyanovna Yusupova ◽  
Irina Arkadevna Kodolova ◽  
Tatyana Viktorovna Nikonova ◽  
Madina Irekovna Agliullina ◽  
Zarina Irekovna Agliullina
Keyword(s):  
Artificial Intelligence ◽  
Financial Markets ◽  
Information And Communication Technologies ◽  
Financial Services ◽  
Business Processes ◽  
Communication Technologies ◽  
Advanced Technologies ◽  
Information And Communication ◽  
To Receive ◽  
Global Financial System

The global financial system is currently at a new stage of its development, which is characterized by the introduction of information and communication technologies in all financial spheres. They allow improving business processes and company management and the process of providing services, as they enable organizations to receive more information about their customers and consumers, therefore, to provide better financial services that meet the requirements of customers.In the process of digitalization of the economy, a large role is played by banking organizations. In the conditions of increased competition in the market, banks are forced to continually improve their activities and introduce the most advanced technologies for carrying out business processes and working with clients. One of the most state-of-the-art technologies is artificial intelligence and Big Data. This technology is a combination of technologies targeted at processing vast amounts of data, and the ability to process fast incoming data in large volumes.

Modernization of Antimonopoly Policy in Russia (Economic Analysis of Proposed Changes in the Competition Law)

2005 ◽  
pp. 100-116
Author(s):  
S. Avdasheva ◽  
A. Shastitko
Keyword(s):  
Economic Analysis ◽  
Financial Markets ◽  
Financial Services ◽  
Competition Law ◽  
Commodity Markets ◽  
State Aid ◽  
Executive Power ◽  
Rule Of Reason ◽  
Per Se

The article is devoted to the analysis of the draft law "On Protection of Competition", which must substitute the laws "On Competition and Limitation of Monopolistic Activity on Commodity Markets" and "On Protection of Competition on the Financial Services Market". The innovations enhancing the quality of Russian competition law and new norms providing at least ambiguous effects on antimonopoly regulation are considered. The first group of positive measures includes unification of competition norms for commodity and financial markets, changes of criteria and the scale of control of economic concentrations, specification of conditions, where norms are applied "per se" and according to the "rule of reason", introduction of rules that can prevent the restriction of competition by the executive power. The interpretation of the "collective dominance" concept and certain rules devoted to antimonopoly control of state aid are in the second group of questionable steps.

Opportunities for improving the insider laws: A comparative analysis of the practice in the USA and Russia

2020 ◽  
Vol 26 (4) ◽  
pp. 796-814
Author(s):  
E.K. Ovakimyan
Keyword(s):  
Financial Markets ◽  
Insider Trading ◽  
Negative Impact ◽  
Business Environment ◽  
Market Manipulation ◽  
Insider Information ◽  
Analysis And Synthesis ◽  
The Usa ◽  
Legislative Perfection ◽  
Definition Of

Subject. The article examines the laws regulating insider trading. Objectives. The study outlines recommendations for refining Law On Countering the Illegal Use of Insider Information and Market Manipulation and Amendments to Some Legislative Acts of the Russian Federation, № 224-ФЗ of July 27, 2010. Methods. The methodological framework includes a general dialectical method, analysis and synthesis, induction and deductions, and some specific methods, such as comparative and formal logic analysis to specify the definition of insider information, structural logic and functional analysis to improve the mechanism for countering insider trading and market manipulation. Results. We discovered key drawbacks to be addressed so as to improve the business environment in Russia. Although the Russia laws mainly mirror the U.S. laws, they present a more extended list of terms concerning the insider information. I believe the legislative perfection should be continued. Conclusions and Relevance. The study helps apply the findings to outline a new legislative regulation or amend the existing ones, add a new mention on the course of financial markets to students’ books, develop new methods for detecting and countering and improving the existing ones. If all parties to insider relationships use the findings, they will prevent insider trading crimes in financial markets and (or) reduce the negative impact of such crimes on the parties.

Financialization

2018 ◽  
pp. 276-290
Author(s):  
Ravi Roy ◽  
Thomas D. Willett
Keyword(s):  
Financial Markets ◽  
Financial Services ◽  
Capital Mobility ◽  
Global Financial Crisis ◽  
Economic Globalization ◽  
The Past ◽  
The World ◽  
The Global Financial Crisis ◽  
National Economies ◽  
Global Financial System

The size and scope of financial sectors throughout the world have grown exponentially in tandem with the rise of globalization and increased capital mobility. The terms “economic globalization” and “financialization” are often discussed as inextricably related phenomena. Although the rapid increase in the number and variety of financial services and products during the past four decades has helped spur economic growth and create wealth on an unprecedented scale, the devastating fallout from the global financial crisis of 2008–2009, and the economic turbulence that followed, demonstrates how poorly managed financial sectors can simultaneously cause enormous pain. This chapter argues that if the opportunities created by economic globalization and financialization are to be maximized, while at the same tempering volatile financial markets, then the global financial system (and the national economies connected with it) must be fundamentally restructured. A number of ways that should be taken under consideration are discussed.

scholarly journals Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI

2021 ◽  
pp. medethics-2020-106820 ◽  
Author(s):  
Juan Manuel Durán ◽  
Karin Rolanda Jongsma
Keyword(s):  
Artificial Intelligence ◽  
Medical Informatics ◽  
Patient Autonomy ◽  
Black Box ◽  
Epistemic Reasons ◽  
Potential Bias ◽  
Ethical Concerns ◽  
Normative Issues ◽  
Ethical Basis ◽  
Computational Processes

The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black box algorithms. These worries connect epistemic concerns with normative issues. In this paper, we outline that black box algorithms are less problematic for epistemic reasons than many scholars seem to believe. By outlining that more transparency in algorithms is not always necessary, and by explaining that computational processes are indeed methodologically opaque to humans, we argue that the reliability of algorithms provides reasons for trusting the outcomes of medical artificial intelligence (AI). To this end, we explain how computational reliabilism, which does not require transparency and supports the reliability of algorithms, justifies the belief that results of medical AI are to be trusted. We also argue that several ethical concerns remain with black box algorithms, even when the results are trustworthy. Having justified knowledge from reliable indicators is, therefore, necessary but not sufficient for normatively justifying physicians to act. This means that deliberation about the results of reliable algorithms is required to find out what is a desirable action. Thus understood, we argue that such challenges should not dismiss the use of black box algorithms altogether but should inform the way in which these algorithms are designed and implemented. When physicians are trained to acquire the necessary skills and expertise, and collaborate with medical informatics and data scientists, black box algorithms can contribute to improving medical care.

Sign in / Sign up

Export Citation Format

Share Document