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Hoda Heidari

30 papers hereh-index 223.3k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author15
  • last author8

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CY8
  • cs.GT8
  • cs.AI3
  • cs.HC1
  • stat.ML1
same name
  • Hoda Heidari — 10 papers, h 5
  • Hoda Heidari — 7 papers, h 3
  • Hoda Heidari — 7 papers, h 4
  • Hoda Heidari — 6 papers, h 4
  • Hoda Heidari — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112025
most citedA Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

196 citations · 606 across the 27 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.GT2025

Modeling the Economic Impacts of AI Openness Regulation

Tori Qiu, Benjamin Laufer, Jon Kleinberg +1

Regulatory frameworks, such as the EU AI Act, encourage openness of general-purpose AI models by offering legal exemptions for "open-source" models. Despite this legislative attent…

cs.GT2025

Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff

Sophie Greenwood, Karen Levy, Solon Barocas +2

As AI technologies improve, people are increasingly willing to delegate tasks to AI agents. In many cases, the human decision-maker chooses whether to delegate to an AI agent based…

cs.GT2025

The Backfiring Effect of Weak AI Safety Regulation

Benjamin Laufer, Jon Kleinberg, Hoda Heidari

Recent policy proposals aim to improve the safety of general-purpose AI, but there is little understanding of the efficacy of different regulatory approaches to AI safety. We prese…

cs.CY2025★ 15 cited

International AI Safety Report

Yoshua Bengio, Sören Mindermann, Daniel Privitera +93

The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems. The report was mandated by…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.