{
  "title": "AI in quality control: what do we know about unflagged cases?",
  "url": "https://www.shr.swiss/blog/ia-controle-qualite-apprendre-des-cas-non-signales-en",
  "language": "en",
  "datePublished": "2025-02-20",
  "publisher": {
    "name": "SHR — Swiss Human Resources",
    "url": "https://www.shr.swiss",
    "address": "Esplanade de Pont-Rouge 9A, 1212 Lancy, Suisse"
  },
  "summary": "An AI system that directs inspections also helps determine which errors the organisation can observe. The absence of a flag is not, on its own, evidence of conformity.",
  "section": "Research",
  "topic": "Managing in the Age of Artificial Intelligence",
  "place": {
    "name": "Neuchâtel",
    "region": "Neuchâtel",
    "country": "CH"
  },
  "keyPoints": [
    {
      "heading": "What the literature establishes",
      "point": "Jerker Denrell (2003, Organization Science) shows through theoretical analysis how the underrepresentation of failures in observable experience can distort learning and the evaluation of practices."
    },
    {
      "heading": "Learning also requires understanding how cases become visible",
      "point": "James March, Lee Sproull and Michal Tamuz (1991, Organization Science) examine opportunities for learning when available experience is sparse and emphasise the role of interpretation."
    },
    {
      "heading": "The premature conclusion",
      "point": "One might conclude that every part must be inspected in the same way, or that targeted inspection should be abandoned."
    },
    {
      "heading": "What routine results cannot establish",
      "point": "The defect rate among flagged parts tells us about that selection, not about defects outside it."
    },
    {
      "heading": "A practical check in Neuchâtel",
      "point": "In a microtechnology, watchmaking or precision microelectronics workshop in Neuchâtel, retain mandatory inspections and add a random inspection of parts not flagged by AI over a predefined period, following a protocol approved by the quality function."
    }
  ],
  "sources": [
    {
      "authors": "Denrell",
      "year": "2003",
      "source": "Organization Science"
    },
    {
      "authors": "Tamuz",
      "year": "1991",
      "source": "Organization Science"
    }
  ],
  "wordCount": 414,
  "image": "https://www.shr.swiss/img/blog-Training-Managing-In-The-Age-Of-Artificial-Intelligence-Neuchatel-ia-controle-qualite-apprendre-des-cas-non-signales-en.jpg?v=4",
  "translations": {
    "fr": "https://www.shr.swiss/blog/ia-controle-qualite-apprendre-des-cas-non-signales",
    "en": "https://www.shr.swiss/blog/ia-controle-qualite-apprendre-des-cas-non-signales-en",
    "de": "https://www.shr.swiss/blog/ia-controle-qualite-apprendre-des-cas-non-signales-de",
    "it": "https://www.shr.swiss/blog/ia-controle-qualite-apprendre-des-cas-non-signales-it"
  },
  "relatedPages": {
    "programme": "https://www.shr.swiss/formation-manager-ere-ia-neuchatel",
    "city": "https://www.shr.swiss/formations-ville/neuchatel",
    "blog": "https://www.shr.swiss/blog"
  },
  "citationPolicy": "Citation autorisée avec mention « SHR — Swiss Human Resources » et lien vers l'article."
}