AI and Machine Learning Bias and How it Affects Financial Systems

Interview with Ismini Psychoula

AI Machine Learning Bias Podcast
Payments on Fire Podcast

AI and Machine Learning Bias and How it Affects Financial Systems

Audio file

In this Payments on Fire® podcast Ismini Psychoula, Research Scientist at OneSpan, discusses artificial intelligence (AI) and machine learning and its role in financial services.

Ismini Psychoula has a PhD in Computer Science, with her thesis focusing on Privacy-Preserving Machine Learning for Smart Healthcare. At OneSpan she researches and designs privacy-preserving and explainable machine-learning models for financial systems.

In this episode, you’ll hear about Ethical AI, AI feeding and monitoring, machine learning bias, and how it affects financial systems. The podcast takes a deep dive into the latest research to prevent fraud and increase transaction security using AI and machine learning.

Podcast highlights:

  • How AI and machine learning analyse data to determine if a transaction is fraudulent or not.  
  • How automated credit decisioning based on historic data can cause bias. 
  • How explainable AI can help detect bias and improve algorithms.

Recorded on: January 13, 2022


  • George Peabody, Partner at Glenbrook Partners and Payments on Fire® Podcast Host
  • Ismini Psychoula, Research Scientist at OneSpan

How to Fight Fraud Attacks With Machine Learning

Watch this video interview with OneSpan expert Greg Hancell to find out how financial institutions can get started with continuous monitoring and contextual authentication.

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