What is AI bias mitigation, and how can it improve AI fairness?

Algorithmic biases that lead to unfair or arbitrary outcomes take many forms. But we also have many strategies and techniques to combat them.

What is AI bias mitigation, and how can it improve AI fairness?
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Algorithmic bias is one of the AI industry’s most prolific areas of scrutiny. Unintended systemic errors risk leading to unfair or arbitrary outcomes, elevating the need for standardized ethical and responsible technology — especially as the AI market is expected to hit $110 billion by 2024

There are multiple ways AI can become biased and create harmful outcomes.

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