Labelling: Revision history

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3 July 2024

  • curprev 07:5107:51, 3 July 2024‎ Mr. MacKenty talk contribs‎ 4,208 bytes +4,208‎ Created page with " ''This answer was supported by a LLM'' '''Labelling Bias''' Labelling bias occurs when the labels assigned to training data reflect subjective judgments, stereotypes, or prejudices, rather than objective truth. This type of bias can significantly impact the performance and fairness of AI systems, including chatbots. Here’s a detailed explanation of labelling bias within the context of a chatbot system: == Definition == * '''Labelling Bias''': * Bias introduced du..."
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