aceArtificial Intelligence and Social Inequality: A Review of Algorithmic Bias, Digital Exclusion, and Governance Responses
Artificial intelligence (AI) is increasingly integrated into employment, education, healthcare, financial services, public administration, and social welfare systems, creating opportunities to improve efficiency, accessibility, and decision-making. However, the growing reliance on AI also raises concerns about social inequality, particularly when algorithmic systems reproduce existing patterns of discrimination, exclude marginalized populations, or concentrate technological benefits among already advantaged grou…
AI systems can reproduce discrimination and exclude marginalized groups, because of unrepresentative data, embedded historical inequalities, weak accountability and limited access to connectivity and digital skills.
The effectiveness of safeguards such as regulation, audits, inclusive design and human oversight is described as dependent on implementation, transparency and participation by affected communities, so benefits are not guaranteed.
Evidence
- Peer-reviewedBritish Journal of Humanities and Social Sciences2026-10-19
How should this claim be treated?
Truvace Impact Record TRV-2026-2028, v1: “Artificial Intelligence and Social Inequality: A Review of Algorithmic Bias, Digital Exclusion, and Governance Responses.” Truvace, 2026-10-20. /record/TRV-2026-2028 (accessed at citation time). sha256 b850558b740cab97…
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