mlsanityData to 14 Oct 2026

A Collectivist, Economic Perspective on AI

arXiv 2507.06268 ↗First posted 8 Jul 2025cs.CY cs.AI stat.MLcited by 4

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Abstract (arXiv)

Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word ``intelligence'' is being used as a North Star for the development of this technology, with human cognition viewed as a baseline. This view neglects the fact that humans are social animals and that much of our intelligence is social and cultural in origin. Moreover, failing to properly situate aspects of intelligence at the social level contributes to the treatment of the societal consequences of technology as an afterthought. The path forward is not merely more data and compute, and not merely more attention paid to cognitive or symbolic representations, but a thorough blending of economic and social concepts with computational and inferential concepts at the level of algorithm design.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 7 of its 31 references that are in the map. First posted on arXiv 8 Jul 2025.

Builds on

7 of 31 references.

References · 7

  1. 2021A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantificationcited by 792
  2. 2020Performative Predictioncited by 327
  3. 2023Prediction-Powered Inferencecited by 220
  4. 2024Hypothesis testing with e-valuescited by 74
  5. 2025Large Language Models are overconfident and amplify human biascited by 30
  6. 2025An Overview of Large Language Models for Statisticianscited by 24
  7. 2025A Survey On Secure Machine Learningcited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.