What are the consequences of false negatives in AI systems?

What are the consequences of false negatives in AI systems?

False negatives in AI can lead to missed opportunities, such as failing to identify a disease in medical diagnostics.

Can you give me an example of a false negative in healthcare?

Sure! If a cancer screening test incorrectly indicates a patient does not have cancer when they actually do, it's a false negative.

What are the potential risks of false negatives in security systems?

In security systems, false negatives can allow threats to go undetected, potentially leading to breaches or attacks.

How can we reduce false negatives in AI models?

We can reduce false negatives by improving data quality, using better algorithms, and continuously training the models with diverse datasets.