activity
20192022
most citedKnow Your Customer: Balancing Innovation and Regulation for Financial Inclusion

11 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2022★ 1 cited

In Private, Secure, Conversational FinBots We Trust

Magdalene Ng, Kovila P. L. Coopamootoo, Tasos Spiliotopoulos +5

In the past decade, the financial industry has experienced a technology revolution. While we witness a rapid introduction of conversational bots for financial services, there is a…

cs.CY2021★ 11 cited

Know Your Customer: Balancing Innovation and Regulation for Financial Inclusion

Karen Elliott, Kovila Coopamootoo, Edward Curran +8

Financial inclusion depends on providing adjusted services for citizens with disclosed vulnerabilities. At the same time, the financial industry needs to adhere to a strict regulat…

cs.CY2021

Identifying and Supporting Financially Vulnerable Consumers in a Privacy-Preserving Manner: A Use Case Using Decentralised Identifiers and Verifiable Credentials

Tasos Spiliotopoulos, Dave Horsfall, Magdalene Ng +3

Vulnerable individuals have a limited ability to make reasonable financial decisions and choices and, thus, the level of care that is appropriate to be provided to them by financia…

cs.HC2020★ 2 cited

Simulating the Effects of Social Presence on Trust, Privacy Concerns & Usage Intentions in Automated Bots for Finance

Magdalene Ng, Kovila P. L. Coopamootoo, Ehsan Toreini +3

FinBots are chatbots built on automated decision technology, aimed to facilitate accessible banking and to support customers in making financial decisions. Chatbots are increasing…

cs.LG2020★ 3 cited

Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context

Ehsan Toreini, Mhairi Aitken, Kovila P. L. Coopamootoo +5

Concerns about the societal impact of AI-based services and systems has encouraged governments and other organisations around the world to propose AI policy frameworks to address f…

cs.CY2019

The relationship between trust in AI and trustworthy machine learning technologies

Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo +3

To build AI-based systems that users and the public can justifiably trust one needs to understand how machine learning technologies impact trust put in these services. To guide tec…