What processes detect and correct bias before deployment?

How It Works:

Combine dataset audits, fairness metrics (e.g., disparate impact ratio), and algorithmic de-biasing techniques, backed by human-in-the-loop review panels.

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Key Benefits:

• Quantifiable fairness: Metrics show improvements over time.
• Reduced risk: Mitigates reputational and legal exposure.
• Continuous improvement: Regular re-evaluation catches new biases.

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Real-World Use Cases:

• Voice assistants: Tuning recognition across accents and dialects.
• Healthcare triage: Equal treatment recommendations across demographics.