mlsanityData to 7 Oct 2026

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions

arXiv 2209.01410 ↗First posted 3 Sep 2022cs.AIcited by 3

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Abstract (arXiv)

There has been much recent interest in the regulation of AI. We argue for a view based on civil-rights legislation, built on the notions of equal treatment and equal impact. In a closed-loop view of the AI system and its users, the equal treatment concerns one pass through the loop. Equal impact, in our view, concerns the long-run average behaviour across repeated interactions. In order to establish the existence of the average and its properties, one needs to study the ergodic properties of the closed-loop and its unique stationary measure.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 21 of its 58 references that are in the map. First posted on arXiv 3 Sep 2022.

Builds on

21 of 58 references.

References · 21

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9 more
  1. 2021Hard Choices in Artificial Intelligencecited by 26
  2. 2019Toward Fairness in AI for People with Disabilities: A Research Roadmapcited by 21
  3. 2020Beyond Individual and Group Fairnesscited by 13
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  7. 2018On the Ergodic Control of Ensemblescited by 5
  8. 2021Predictability and Fairness in Load Aggregation and Operations of Virtual Power Plantscited by 4
  9. 2021On the Ergodic Control of Ensembles in the Presence of Non-linear Filterscited by 2

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Cited by year

Citing papers per year: 2025: 3.

3 papers.

  1. 2025humancompatible.interconnect: Testing Properties of Repeated Uses of Interconnections of AI Systemscited by 1
  2. 2025Stochastic Sample Approximations of (Local) Moduli of Continuitycited by 1
  3. 2025humancompatible.detect: a Python Toolkit for Detecting Bias in AI Modelscited by 0