What are some common issues with AI features?
Common issues include bias in algorithms, lack of transparency, and difficulties in user interaction.
Can you give me an example of bias in AI?
Sure! An example is facial recognition software that performs poorly on people of color due to biased training data.
How can these issues be addressed?
Addressing these issues involves improving data diversity, enhancing algorithm transparency, and involving diverse teams in development.
What role does user feedback play in improving AI features?
User feedback is crucial as it helps identify issues, guides improvements, and ensures the AI meets user needs effectively.
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