paper
Artificial Intelligence and Inequality: Challenges and Opportunities
A narrative discussion surveys possible distributional harms and policy responses.
Milad Shahvaroughi Farahani and Ghazal Ghasemi discuss inequality through employment, access, services, and algorithmic bias. The inspected 2024 Qeios manuscript proposes education, inclusion, accountability, and governance responses.[1]
Contribution and relevance
The discussion gives a broad map of concerns relevant to Social Alignment and unequal access to AI benefits. It can help locate topics and referenced studies.[1]
Evidence limits
This is a narrative discussion, not an original measured estimate of job displacement or policy effectiveness. The inspected text does not describe a reproducible systematic-review selection procedure. Its broad sector-wide statements should be checked against the original evidence and narrower contexts. Publication on a platform offering open review does not itself establish that every claim has been validated. Prefer primary studies for factual claims about employment, discrimination, or interventions; cite this paper for its authors’ analysis and recommendations.
Sources
Pages that link here
- Milad Shahvaroughi Farahani person
- Social Alignment concept
Last updated 2026-10-07