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Track Talk T2

AI’s Hidden Bias: Spotting the Unseen Before It Strikes

Brijesh Deb

11:00 - 11:45 CEST Thursday 5th June

In 2019, Apple’s AI-driven credit card faced backlash for discriminating against women, assigning them significantly lower credit limits than men with similar financial profiles. This incident highlights the alarming reality that AI systems can unintentionally perpetuate bias if not carefully tested.

Bias in AI arises from various sources—data quality, algorithm design, and human intervention. Testers are the front line in detecting these issues before they cause harm. In this session, you’ll learn about the tools and frameworks for spotting bias in AI models, ensuring transparency and fairness across systems.

We’ll dissect real-world cases, including Apple’s credit card debacle and biased recruitment tools, to reveal how bias is introduced and how testers can prevent such scenarios. Attendees will gain actionable insights to embed fairness and accountability into their AI testing workflows, safeguarding their organizations from reputational and regulatory risks.