Pith Number

pith:JSBSG7C2

pith:2026:JSBSG7C2TPIDQ4CHI4Z33JGATT

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Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles

Jose Luna, Noa Garcia, Xiaofei Xie, Yankun Wu

Text-to-image models require gender bias audits that align with the risk level of their specific use cases.

arxiv:2605.13113 v1 · 2026-05-13 · cs.CY · cs.AI

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4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We propose a risk-aligned auditing framework for gender bias in T2I models composed of three constituents that connects risk categories, evaluation metrics, and harms.

C2weakest assumption

That existing gender-bias metrics can be cleanly consolidated into the three proposed measurement categories and mapped to context-dependent harms without significant loss of validity or coverage across deployment scenarios.

C3one line summary

A new framework called THUMB cards organizes gender bias metrics for T2I models by risk-tiered use cases, measurement categories, and harm typologies aligned with the EU AI Act.

References

114 extracted · 114 resolved · 4 Pith anchors

[1] https://standards.ieee.org/ieee/7003/11357/ 2024

[2] InstructBlip-2 2025

[3] 2025.General Purpose AI (GPAI): High-Level Summary of the AI Act 2025

[4] Anusha Asim. 2026. Through the AI looking glass: measuring gendered objectification in user-generated AI images.AI and Ethics6, 1 (2026), 19 2026

[5] Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond 2023 · arXiv:2308.12966

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:08:58.078154Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4c83237c5a9bd03870474733bda4c09cdf57cefc366f071a75f6bc30eef64e62

Aliases

arxiv: 2605.13113 · arxiv_version: 2605.13113v1 · doi: 10.48550/arxiv.2605.13113 · pith_short_12: JSBSG7C2TPID · pith_short_16: JSBSG7C2TPIDQ4CH · pith_short_8: JSBSG7C2

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/JSBSG7C2TPIDQ4CHI4Z33JGATT \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4c83237c5a9bd03870474733bda4c09cdf57cefc366f071a75f6bc30eef64e62

Canonical record JSON

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  "metadata": {
    "abstract_canon_sha256": "45fafb1362482ea03e4108cc1415a00e513782d2d2d1070984395c4e606ae722",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-05-13T07:25:04Z",
    "title_canon_sha256": "969eb8323e30a4273d84acb6ae60f85490ad5e5f2ffa23ccd17cbbe78193a09f"
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    "kind": "arxiv",
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