What are some common AI failure scenarios?

What are some common AI failure scenarios?

Common AI failure scenarios include misinterpretation of data, bias in algorithms, and lack of context awareness.

Can you give me an example of a misinterpretation of data?

Sure! An example is when an AI misreads sentiment in customer feedback, leading to incorrect conclusions about satisfaction.

What about bias in algorithms?

Bias in algorithms can occur when training data reflects societal biases, resulting in unfair treatment of certain groups.

How can we prevent these failures?

Preventing AI failures involves diverse training data, regular audits, and incorporating human oversight in decision-making.