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 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/dataset-bias",
 "identifier": "kaal:entity:dataset-bias",
 "name": "Dataset bias",
 "termCode": "dataset-bias",
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 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
 "dateModified": "2026-07-29",
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 "subjectOf": [
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5095633-010",
   "identifier": "kaal:claim:5095633-010",
   "text": "When a training dataset disproportionately represents one region or demographic group, the resulting model produces skewed and sometimes inappropriate outputs once deployed in unfamiliar settings.",
   "abstract": "For instance, if a dataset disproportionately represents a particular region or demographic group, the model may offer skewed performance, demonstrating suboptimal or inappropriate outputs when deployed in unfamiliar settings.",
   "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
   "datePublished": "2025",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "deployment context differs from the demographic composition of the training data"
   ],
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   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5095633-015",
   "identifier": "kaal:claim:5095633-015",
   "text": "In healthcare, biased or stale training data produces algorithms that misdiagnose underrepresented populations and thereby reinforce existing health disparities instead of reducing them.",
   "abstract": "In healthcare, for instance, biased or stale training data could lead to algorithms that misdiagnose underrepresented populations, reinforcing existing health disparities rather than alleviating them.",
   "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
   "datePublished": "2025",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "clinical deployment on populations underrepresented in training data"
   ],
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  }
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 "description": "2 claims in the published works of Wulf A. Kaal carry the concept tag 'dataset-bias'. Derived node: a roster, not an adjudicated definition."
}