What are feedback loops in AI?
Feedback loops in AI refer to the process where the output of a system is fed back into the system as input, influencing future outputs.
Can you give me an example of a feedback loop?
Sure! A common example is in recommendation systems, where user interactions with suggested items refine future recommendations.
How do feedback loops improve AI performance?
They help the AI learn from past interactions, allowing it to adapt and provide more accurate and relevant responses over time.
Are there any risks associated with feedback loops?
Yes, if not managed properly, feedback loops can lead to biased outcomes or reinforce negative patterns in AI behavior.
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