How Cognitive Bias in AI Impacts Business Outcomes

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With billions of dollars at stake, decision-makers need to set boundaries and parameters for AI to avoid any downsides to technology usage. It is critical to know how to avoid common mistakes with neural networks to feel confident about your solution stack. AI processes information differently, and it's essential to understand how each works before applying it in business. For instance, specific data that a neural network might not be able to process, such as the reasoning behind the results of an insurance claim -- might not have a straightforward representation in machine learning because of possible interpretations. In this situation, the output of a neural network might not have quality results.