De-Risking Your Decisions: How to Eliminate AI Bias in a Regulated World

Do you trust your AI models? But what happens if your models don’t trust your customers?

If left unaddressed, algorithmic bias could result in discriminatory lending practices, unfair consumer protection issues, and interfere with your organization’s ESG priorities.

Feedzai’s TRUST Framework (based on the five key pillars: Transparent, Robust, Unbiased, Secure, and Tested AI) offers financial institutions a guide to tackle AI bias at every stage of the customer lifecycle. In this on-demand webinar, Feedzai’s Hugo Ferreira and Sérgio Jesus explore how proxy variables introduce risk and the steps banks can take.

Watch the webinar to learn:

• Feedzai’s 3-part approach to effective bias mitigation: before training, during training, and at deployment.
• Why inclusive design isn’t just nice to have, but essential for fair and powerful AI.
• How diverse teams can uncover blind spots, resulting in AI systems that serve all populations equally.

Protect your customers from AI bias.