Deployment Bias: Revision history

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1 July 2024

  • curprev 06:4806:48, 1 July 2024‎ Wikinimda@home talk contribs‎ 2,935 bytes +2,935‎ Created page with "'''Deployment bias''' in AI refers to the introduction of biases and unintended consequences that can occur when AI systems are put into real-world use. This type of bias arises not from the AI's design or training data but from how the AI system is integrated, used, and interacts with the environment and users. Here are some key aspects of deployment bias: # '''Contextual Misalignment''': When an AI system is deployed in a context different from the one it was trained..." Tag: Visual edit
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