{
  "title": "AI assistants: which data do they actually need to collect?",
  "url": "https://www.shr.swiss/blog/assistants-ia-quelles-donnees-faut-il-vraiment-collecter-en",
  "language": "en",
  "datePublished": "2025-12-02",
  "publisher": {
    "name": "SHR — Swiss Human Resources",
    "url": "https://www.shr.swiss",
    "address": "Esplanade de Pont-Rouge 9A, 1212 Lancy, Suisse"
  },
  "summary": "An assistant that is easy to use can also make disclosing information too easy. Privacy research invites us to examine the data requested, not just the answers produced.",
  "section": "Research",
  "topic": "Building AI Assistants and Agents Without Coding",
  "place": {
    "name": "Zurich",
    "region": "Zurich",
    "country": "CH"
  },
  "keyPoints": [
    {
      "heading": "What the literature establishes",
      "point": "Tamara Dinev and Paul Hart (2006, Information Systems Research) examine a model in which willingness to provide personal information for electronic transactions depends, among other factors, on perceived risks, trust and expected benefits."
    },
    {
      "heading": "A decision shaped by context",
      "point": "Alessandro Acquisti, Laura Brandimarte and George Loewenstein (2015, Science) review research showing that disclosure decisions are characterised by uncertainty and dependence on context."
    },
    {
      "heading": "The premature conclusion",
      "point": "One might conclude that an assistant should always request less information."
    },
    {
      "heading": "What these studies cannot settle",
      "point": "These publications do not compare no-code generative assistants used in organisations, so they cannot quantify how reducing input fields affects their quality."
    },
    {
      "heading": "A practical check in Zurich",
      "point": "As part of SHR's programme “Créer ses assistants et agents IA sans coder”, a relevant exercise for financial services, insurance, tech and the European headquarters of international groups in Zurich is to test an assistant on representative fictional cases, with and then without each category of personal data requested."
    }
  ],
  "sources": [
    {
      "authors": "Hart",
      "year": "2006",
      "source": "Information Systems Research"
    },
    {
      "authors": "Loewenstein",
      "year": "2015",
      "source": "Science"
    }
  ],
  "wordCount": 444,
  "image": "https://www.shr.swiss/img/blog-editorial-2025-12-02-en.jpg?v=4",
  "translations": {
    "fr": "https://www.shr.swiss/blog/assistants-ia-quelles-donnees-faut-il-vraiment-collecter",
    "en": "https://www.shr.swiss/blog/assistants-ia-quelles-donnees-faut-il-vraiment-collecter-en",
    "de": "https://www.shr.swiss/blog/assistants-ia-quelles-donnees-faut-il-vraiment-collecter-de",
    "it": "https://www.shr.swiss/blog/assistants-ia-quelles-donnees-faut-il-vraiment-collecter-it"
  },
  "relatedPages": {
    "programme": "https://www.shr.swiss/formation/assistants-agents-ia/zurich",
    "city": "https://www.shr.swiss/formations-ville/zurich",
    "blog": "https://www.shr.swiss/blog"
  },
  "citationPolicy": "Citation autorisée avec mention « SHR — Swiss Human Resources » et lien vers l'article."
}