What are AI feedback loops and how do they work?
AI feedback loops occur when the output of an AI system influences its future inputs, creating a cycle of learning.
Can you give me an example of a feedback loop in AI?
Sure! A common example is in recommendation systems, where user interactions refine future suggestions.
What are the potential risks of feedback loops in AI?
Risks include reinforcing biases, overfitting to specific data, and creating unintended consequences in decision-making.
How can we mitigate the negative effects of feedback loops?
Mitigation strategies include regular audits, diverse training data, and implementing human oversight in AI systems.
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