Essec\Faculty\Model\Contribution {#2188
  #_index: "academ_contributions"
  #_id: "14309"
  #_source: array:26 [
    "id" => "14309"
    "slug" => "hotspots-and-blind-spots"
    "yearMonth" => "2018-12"
    "year" => "2018"
    "title" => "Hotspots and blind spots"
    "description" => "WAARDENBURG, L., SERGEEVA, A. et HUYSMAN, M. (2018). Hotspots and blind spots. Dans: Schultze, U., Aanestad, M., Mähring, M., Østerlund, C., Riemer, K. eds. <i>Living with monsters? Social implications of algorithmic phenomena, hybrid agency, and the performativity of technology</i>. 1st ed. Cham: Springer, pp. 96–109."
    "authors" => array:3 [
      0 => array:3 [
        "name" => "WAARDENBURG Lauren"
        "bid" => "B00812212"
        "slug" => "waardenburg-lauren"
      ]
      1 => array:1 [
        "name" => "SERGEEVA Anastasia"
      ]
      2 => array:1 [
        "name" => "HUYSMAN Marleen"
      ]
    ]
    "ouvrage" => "Living with monsters? Social implications of algorithmic phenomena, hybrid agency, and the performativity of technology"
    "keywords" => array:3 [
      0 => "analytics"
      1 => "algorithms"
      2 => "predictive policing"
    ]
    "updatedAt" => "2024-01-19 12:23:47"
    "publicationUrl" => "https://link.springer.com/chapter/10.1007/978-3-030-04091-8_8"
    "publicationInfo" => array:3 [
      "pages" => "96–109"
      "volume" => "543"
      "number" => ""
    ]
    "type" => array:2 [
      "fr" => "Chapitres"
      "en" => "Book chapters"
    ]
    "support_type" => array:2 [
      "fr" => "Editeur"
      "en" => "Publisher"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "This paper reports on an ethnographic study of the use of analytics in police work. We find that the introduction of predictive policing was followed by the emergence of the new occupational role of “intelligence officer”. While intelligence officers were initially intended to merely support police officers by making sense of algorithmic outputs, they became increasingly influential in steering police action based on their judgments. Paradoxically, despite the largely subjective nature of intelligence officers’ recommendations, police officers started to increasingly believe in the superiority and objectivity of algorithmic decision-making. Our work contributes to the literature on occupational change and technology by highlighting how analytics can occasion the emergence of intermediary occupational roles. We argue that amidst critical debates on subjectivity of analytics, more attention should be paid to intermediaries – those who are in-between designers and users – who may exert the most consequential influence on analytics outcomes by further black-boxing the inherent inclusion of human expertise in analytics."
      "en" => "This paper reports on an ethnographic study of the use of analytics in police work. We find that the introduction of predictive policing was followed by the emergence of the new occupational role of “intelligence officer”. While intelligence officers were initially intended to merely support police officers by making sense of algorithmic outputs, they became increasingly influential in steering police action based on their judgments. Paradoxically, despite the largely subjective nature of intelligence officers’ recommendations, police officers started to increasingly believe in the superiority and objectivity of algorithmic decision-making. Our work contributes to the literature on occupational change and technology by highlighting how analytics can occasion the emergence of intermediary occupational roles. We argue that amidst critical debates on subjectivity of analytics, more attention should be paid to intermediaries – those who are in-between designers and users – who may exert the most consequential influence on analytics outcomes by further black-boxing the inherent inclusion of human expertise in analytics."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-05-19T10:21:45.000Z"
    "docTitle" => "Hotspots and blind spots"
    "docSurtitle" => "Book chapters"
    "authorNames" => "<a href="/cv/waardenburg-lauren">WAARDENBURG Lauren</a>, SERGEEVA Anastasia, HUYSMAN Marleen"
    "docDescription" => "<span class="document-property-authors">WAARDENBURG Lauren, SERGEEVA Anastasia, HUYSMAN Marleen</span><br><span class="document-property-authors_fields">Information Systems, Decision Sciences and Statistics</span> | <span class="document-property-year">2018</span>"
    "keywordList" => "<a href="#">analytics</a>, <a href="#">algorithms</a>, <a href="#">predictive policing</a>"
    "docPreview" => "<b>Hotspots and blind spots</b><br><span>2018-12 | Book chapters </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://link.springer.com/chapter/10.1007/978-3-030-04091-8_8" target="_blank">Hotspots and blind spots</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 8.68501
  +"parent": null
}