Pith Number

pith:PAEESUG7

pith:2026:PAEESUG733HZB4UVHFZ3RVSO32

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When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning

Khalid Adnan Alsayed

Different fairness metrics can lead to contradictory conclusions about bias in the same machine learning model.

arxiv:2604.15038 v2 · 2026-04-16 · cs.LG · cs.AI · cs.CV

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\usepackage{pith}
\pithnumber{PAEESUG733HZB4UVHFZ3RVSO32}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications 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

Our results demonstrate that fairness assessments can vary significantly depending on the choice of metrics, leading to contradictory conclusions regarding model bias.

C2weakest assumption

That the selected fairness metrics, group partitions, and face-recognition setting are representative enough to generalize the disagreement finding to broader ML fairness evaluation.

C3one line summary

Fairness metrics frequently disagree on bias levels in ML models, quantified by a new Fairness Disagreement Index that remains high across thresholds and configurations.

Cited by

1 paper in Pith

Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems

Receipt and verification

First computed	2026-05-21T01:04:25.830809Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

78084950dfdecf90f2953973b8d64ede850742075d1722dbd1608a438e30758f

Aliases

arxiv: 2604.15038 · arxiv_version: 2604.15038v2 · doi: 10.48550/arxiv.2604.15038 · pith_short_12: PAEESUG733HZ · pith_short_16: PAEESUG733HZB4UV · pith_short_8: PAEESUG7

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/PAEESUG733HZB4UVHFZ3RVSO32 \
  | 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: 78084950dfdecf90f2953973b8d64ede850742075d1722dbd1608a438e30758f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f4ca68405cb93eeaef69b4ac82fa8fe476fd5c0ef2c37d6ced48d4291c12093a",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-16T14:07:37Z",
    "title_canon_sha256": "1f81ee62dac09bb08d7d7c8bb74028367860b15e91dc1e267bd4d3eee0abdcc6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.15038",
    "kind": "arxiv",
    "version": 2
  }
}