How AI Systems Learn From Feedback
Artificial intelligence systems rarely operate in isolation. Once deployed, they interact with users, data pipelines, and decision workflows that continuously generate feedback. That feedback, whether explicit or implicit, plays a major role in shaping how AI systems behave over time. Understanding how AI systems learn from feedback is critical for anyone building, deploying, or overseeing these systems. Feedback can improve performance and alignment, but it can also introduce unintended behaviors if it is poorly designed or misunderstood.
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