Working with Both ‘Human’ AI and Graph Technology to Combat Money Laundering
Money laundering, defined by the FBI as the process by which criminals disguise their illegal gains to make them appear to have come from legitimate sources, is a huge global problem. In the UK alone, it costs more than £100 billion a year. The UN estimates the amount of money laundered globally stacks up to 5% of global GDP or US$2 trillion per year.
Graph technology and ‘Human’ or explainable AI may provide the answer to money laundering, says Neo4j’s Amy Hodler.
Keywords: anti-money laundering • Explainable AI • fraud detection • graph technology • Human AI • money laundering