@article{1471941,
      recid = {1471941},
      author = {Gupta, Abhishek K. and Dwivedi, Dwijendra Nath. and Shah,  Jigar.},
      title = {Artificial intelligence applications in banking and  financial services : anti money laundering and compliance  /},
      pages = {1 online resource (147 p.).},
      note = {6.4.2 Approaches for Name Screening},
      abstract = {This book discusses all aspects of money laundering,  starting from traditional approach to financial crimes to  artificial intelligence-enabled solutions. It also  discusses the regulators approach to curb financial crimes  and how syndication among financial institutions can create  a robust ecosystem for monitoring and managing financial  crimes. It opens with an introduction to financial crimes  for a financial institution, the context of financial  crimes, and its various participants. Various types of  money laundering, terrorist financing, and dealing with  watch list entities are also part of the discussion.  Through its twelve chapters, the book provides an overview  of ways in which financial institutions deal with financial  crimes; various IT solutions for monitoring and managing  financial crimes; data organization and governance in the  financial crimes context; machine learning and artificial  intelligence (AI) in financial crimes; customer-level  transaction monitoring system; machine learning-driven  alert optimization; AML investigation; bias and ethical  pitfalls in machine learning; and enterprise-level  AI-driven Financial Crime Investigation (FCI) unit. There  is also an Appendix which contains a detailed review of  various data sciences approaches that are popular among  practitioners. The book discusses each topic through  real-life experiences. It also leverages the experience of  Chief Compliance Officers of some large organizations to  showcase real challenges that heads of large organizations  face while dealing with this sensitive topic. It thus  delivers a hands-on guide for setting up, managing, and  transforming into a best-in-class financial crimes  management unit. It is thus an invaluable resource for  researchers, students, corporates, and industry watchers  alike.},
      url = {http://library.usi.edu/record/1471941},
      doi = {https://doi.org/10.1007/978-981-99-2571-1},
}