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New paper explores multi-party computation for post-market fairness in hiring AI

By PulseAugur Editorial · [1 sources] ·

A new interdisciplinary paper titled 'Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring' has been published and is available open access. The research, presented at the FAccT conference, explores the use of multi-party computation protocols to monitor fairness in algorithmic hiring systems after they have been deployed. The paper's authors include Changyang He, Nina Baranowska, Josu Andoni Eguíluz Castañeira, Guillem Escriba, Matthias Immanuel Jüntgen, Anna Via, Asia J. Biega, and Frederik Borgesius. AI

IMPACT This research offers a technical framework for ensuring fairness in AI hiring systems post-deployment, addressing critical ethical and legal considerations.

RANK_REASON The cluster reports on a newly published academic paper detailing a specific technical approach to AI fairness. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New paper explores multi-party computation for post-market fairness in hiring AI

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The cluster reports on a newly published academic paper detailing a specific technical approach to AI fairness. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    New interdisciplinary paper at FAccT, open access: ‘Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algori

    New interdisciplinary paper at FAccT, open access: ‘Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring’ By Changyang He, Nina Baranowska, Josu Andoni Eguíluz Castañeira, Guillem Escriba, Matthias Immanuel Jüntg…

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