Combatting Bias in AI Systems
SMRTR summary
AI bias in automated decision-making can lead to discrimination, stemming from unrepresentative data and human feedback, especially in hiring processes used by major companies, necessitating strategies like clean data, inclusive design, audits, and fairness frameworks to mitigate risks and maintain trust.
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