Can Artificial Intelligence be applied to Citizenship by Investment programmes to mitigate risks?
This event is part of the Centre for Financial and Corporate Integrity's public seminar series and discusses prominent research to examine how artificial intelligence can be applied to Citizen by Investment programmes to mitigate risks including money laundering, tax evasion, and border security.
The practice of selling passports through Citizenship by Investment (CBI) programmes is gaining more attraction and legitimacy in the light of increasingly stricter corporate and immigration compliance policies. The current due diligence performed to comply with these policies, it is argued, still allows for the potential risks of money laundering, tax evasion, and border security which can be facilitated through second citizenship. It is therefore suggested that AI processes be introduced to potentially transform risk management within the CBI programmes.
Jeiel Joseph is a PhD candidate at the Centre for Financial and Corporate Integrity at Coventry University. His research focuses on the application of proven Artificial Intelligence techniques such as machine learning, automatic facial recognition, language processing and blockchain technology in Citizenship by Investment programmes for mitigation of risks such money laundering, tax evasion and border security.