From the course: Navigating AI Through an Intersectional DEI Lens
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Mitigating bias in AI systems
From the course: Navigating AI Through an Intersectional DEI Lens
Mitigating bias in AI systems
- Imagine a world where a job seeking AI system recommends higher paying positions predominantly to men, unintentionally perpetuating gender wage disparities. Unfair, right? Now, imagine a judge relying solely on a single piece of evidence to make a life-altering decision in a court case. If you're like me, you might take issue with how such a narrow perspective can lead to unjust outcomes. Just as a painter uses a meticulous hand to create a masterpiece, so must we employ care and precision to minimize bias in AI. Now is the time to delve into the crucial process of mitigating bias and ensuring that AI systems uphold ethical standards and promote inclusivity. Bias mitigation involves identifying and reducing bias within AI systems to ensure their decisions are fair and just. Mitigating bias in AI, especially in decision-making, is essential to prevent discriminatory outcomes and uphold ethical standards. Picture an AI system used in college admissions that consistently favors…
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