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How Artificial Intelligence is Used to Detect Financial Fraud and Tax Avoidance

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Lecture
  • Session
  • Tuesday, 12 November 2013
  • 00:12 - 00:12
  • Duration: 55 mins
  • Publication date: 12 Nov 2013
  • Location: IETTV_Room, IETTV_Venue, Stoke-on-Trent, United Kingdom
  • Part of event Lecture

About the session

Detecting financial fraud and tax evasion is complex and requires data from a variety of sources. This may include bank deposits and financial transactions, investments in shares, investments in real estates, expenditure on cell phones, import and export information, car insurances, etc., and an understanding of the tax system. The complexity is realised when the relationship between various features of the data is not always explicit, consequently it is difficult for humans to manually identify tax fraud, tax evasion and the loopholes in the tax system. The use of artificial intelligence to analyse this "big data" has the potential to transform traditional ways of identifying financial fraud and tax evasion. This talk demonstrates the complexities which most tax systems face, and discusses the role of artificial intelligence in reducing financial fraud and tax evasion.

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Speaker

  • CC

    Caroline Chibelushi

    Staffordshire University, Centre of Information Intelligence and Security Systems, Senior Researcher

    MIEEE MIET PGCHPE MIAENG UKITA Senior Researcher, Staffordshire University. Caroline has written and contributed to over 49 articles, winning a significant amount of research funding. She has accumulated more than 14 years of research expertise covering pattern recognition, data and text mining, electronics and advanced e-health and medical informatics applications. She has conducted successful research projects as a project leader or collaborator with academic or industrial partners in the UK, EU and Africa. Her on-going research on using AI to reduce fraud has enabled the recovery of 86.3 billion Tanzanian Shillings (equivalent to amp;amp;#163;34 million) which contributed to the Tanzanian economy.
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