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New paper examines network structures' role in algorithmic fairness

By PulseAugur Editorial · [1 sources] ·

A new perspective paper published on arXiv explores how social network structures can introduce and amplify inequalities in decision-making processes. The authors, led by Lisette Elizabeth Espín Noboa, identify ten network effects that create structural biases, arguing that current algorithmic fairness research often overlooks these relational dynamics. Using academic hiring as a case study, the paper demonstrates that network biases are not inherently negative but require evaluation through both distributive and procedural justice lenses, involving all stakeholders. AI

RANK_REASON The cluster contains a research paper published on arXiv discussing algorithmic fairness and network structures. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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New paper examines network structures' role in algorithmic fairness

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The cluster contains a research paper published on arXiv discussing algorithmic fairness and network structures. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Lisette Esp\'in-Noboa, Tina Eliassi-Rad, Pak-Hang Wong, Erich Prem, Meike Zehlike, Ricardo Baeza-Yates, Suresh Venkatasubramanian, Fariba Karimi ·

    From Network Inequality to Network Fairness: A Perspective on Responsible Decision-Making

    arXiv:2609.13867v1 Announce Type: cross Abstract: Social networks shape how individuals make decisions and how opportunities are distributed. However, the mechanisms that generate these networks often reflect pre-existing inequalities, and technologies that rely on network-derive…

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