Machine learning has had a major impact on Finance and other organisations. The technology has developed at an astounding pace to undertake complex and technical tasks, and those that are both time consuming and that are subject to constantly changing parameters. The purpose of this article is to explore whether machine learning is a potential tool or solution that can help lighten the compliance and regulatory burden on charitable organisations in the United Kingdom; so that they are able to navigate regulatory compliance with legal duties and develop a coherent but streamlined action plan to shape future technological investment. The question is approached through data analysis, review of literature, and via a discussion of domestic and i...
One of the most striking challenges for present legal thinking are liability issues related to machi...
Machine learning, or artificial intelligence, refers to a vast array of different algorithms that ar...
Recently both the Bank of England and the Financial Conduct Authority have carried out experiments u...
Purpose: Machine learning is having a major impact on Banking, Law and other organisations. The spe...
Purpose: The purpose of this article is to explore the extent to which machine learning can be used ...
The presented study investigates the role of Machine Learning in Regulatory Compliance software syst...
Recent achievements in respect of Artificial intelligence (AI) open up opportunities for new tools t...
The paper looks at how the process of machine learning could be used to improve the regulation of hu...
As regulatory compliance (or compliance governance) becomes ever more challenging, attempts to engag...
A growing body of literature discusses the impact of machine-learning algorithms on regulatory proce...
Legal scholars investigating artificial intelligence are preoccupied with regulation. The literature...
The evolution of "government policy" to "governance" emphasizes a broader approach to shaping social...
The revolution of technology all around the world has modified and revolutionized banking services a...
Banks have started adopting machine learning to reinvent their business functions and improve their ...
This chapter explores the promise and potential of Regulatory Technologies (RegTech), a new and vita...
One of the most striking challenges for present legal thinking are liability issues related to machi...
Machine learning, or artificial intelligence, refers to a vast array of different algorithms that ar...
Recently both the Bank of England and the Financial Conduct Authority have carried out experiments u...
Purpose: Machine learning is having a major impact on Banking, Law and other organisations. The spe...
Purpose: The purpose of this article is to explore the extent to which machine learning can be used ...
The presented study investigates the role of Machine Learning in Regulatory Compliance software syst...
Recent achievements in respect of Artificial intelligence (AI) open up opportunities for new tools t...
The paper looks at how the process of machine learning could be used to improve the regulation of hu...
As regulatory compliance (or compliance governance) becomes ever more challenging, attempts to engag...
A growing body of literature discusses the impact of machine-learning algorithms on regulatory proce...
Legal scholars investigating artificial intelligence are preoccupied with regulation. The literature...
The evolution of "government policy" to "governance" emphasizes a broader approach to shaping social...
The revolution of technology all around the world has modified and revolutionized banking services a...
Banks have started adopting machine learning to reinvent their business functions and improve their ...
This chapter explores the promise and potential of Regulatory Technologies (RegTech), a new and vita...
One of the most striking challenges for present legal thinking are liability issues related to machi...
Machine learning, or artificial intelligence, refers to a vast array of different algorithms that ar...
Recently both the Bank of England and the Financial Conduct Authority have carried out experiments u...