HOW ALGORITHMIC BIAS IN ARTIFICIAL INTELLIGENCE AFFECTS SOCIETY
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Abstract
Artificial intelligence (AI) systems may exhibit algorithmic bias, causing social, financial, and legal injustice. Bias often arises from skewed or incomplete datasets. This issue appears in hiring, credit decisions, crime prediction, and other sectors. As a result, social inequality increases, financial discrimination occurs, and public trust in AI declines. To mitigate the problem, data diversification, algorithm auditing, transparency enhancement, and legal oversight are necessary. By implementing these measures, AI can be used fairly and safely, maximizing its benefits while minimizing adverse effects on society and ensuring equitable treatment for all individuals.
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References
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