Mitigating Bias in AI Through Continuous Monitoring and Validation
DZone
JANUARY 29, 2024
AI models often mirror the data on which they are trained. To overcome this issue, continuous monitoring and validation emerge as critical processes which are essential for ensuring that AI models function ethically and impartially over time. It can unintentionally include existing societal biases, leading to unfair outcomes.
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