AI and machine learning are transforming banking in ways both positive and negative. On the positive side, AI can increase productivity, reduce costs, and provide exceptional customer service.
But AI models are only as good as the data they train on: Unintentional or hidden bias in training data can lead to unfair decisions and regulatory trouble.
Listen to this podcast to get answers to the following questions:
- What are the causes of AI bias?
- What are the banking functions most at risk of AI bias?
- What are the measures to ensure AI models don't result in unintended discriminatory outcomes?
Click the player above to listen to Valid Systems' Rodney Drake, Chief Strategy Officer and Donna Cichani, Senior Vice President of Product Management discuss what causes AI bias and how to leverage AI's benefits while doing no harm.
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