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Arvind Narayanan questions algorithmic fairness in new paper

By PulseAugur Editorial · [1 sources] ·

Arvind Narayanan, a researcher from Princeton University, has published a paper titled 'What If Algorithmic Fairness Is a Category Error?'. The paper explores the concept of algorithmic fairness and questions its fundamental applicability. AI

IMPACT This paper challenges the foundational assumptions of algorithmic fairness, prompting a re-evaluation of how fairness is approached in AI development and policy.

RANK_REASON The cluster contains an academic paper by a named researcher. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — sigmoid.social →

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

Arvind Narayanan questions algorithmic fairness in new paper

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16 / 100
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The cluster contains an academic paper by a named researcher. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, policy
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    I recommend this paper by Arvind Narayanan 'What If Algorithmic Fairness Is a Category Error?' https://www. cs.princeton.edu/~arvindn/publ ications/algorithmic_

    I recommend this paper by Arvind Narayanan 'What If Algorithmic Fairness Is a Category Error?' https://www. cs.princeton.edu/~arvindn/publ ications/algorithmic_fairness_category_error.pdf # law # tech # ai # facct

    LINKS cs.princeton.edu/…/algorithmic_fairness_c…

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