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FINDHR
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51f99a0f9a0b7c8b4a5be69bbef359eb92bd3c94f9fe8982d92b587c340caf5c
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{"body":{"en":"By identifying and mitigating biases, the audit framework can ensure or protect fairness in AI systems, including hiring systems. Bias is the result of many factors, social and technical, from systematic errors introduced by algorithmic design choices, dirty data, sampling procedures, reporting protocols, or wrong assumptions that cause a mismatch between the input features and the target outputs. The Impact Assessment and Auditing Framework proposed identifies 8 moments of bias:"},"title":{"en":"7"}}
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<script src="http://findhr-feedback.upf.edu/processes/feedback-request-01/f/11/proposals/179/embed.js"></script>
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