---
res:
  bibo_abstract:
  - "Algorithmic bias has long been recognized as a key problem affecting decision-making
    processes that integrate artificial intelligence (AI) technologies. The increased
    use of AI in making military decisions relevant to the use of force has sustained
    such questions about biases in these technologies and in how human users programme
    with and rely on data based on hierarchized socio-cultural norms, knowledges,
    and modes of attention.\r\n\r\nIn this post, Dr Ingvild Bode, Professor at the
    Center for War Studies, University of Southern Denmark, and Ishmael Bhila, PhD
    researcher at the “Meaningful Human Control: Between Regulation and Reflexion”
    project, Paderborn University, unpack the problem of algorithmic bias with reference
    to AI-based decision support systems (AI DSS). They examine three categories of
    algorithmic bias – preexisting bias, technical bias, and emergent bias – across
    four lifecycle stages of an AI DSS, concluding that stakeholders in the ongoing
    discussion about AI in the military domain should consider the impact of algorithmic
    bias on AI DSS more seriously.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Ishmael
      foaf_name: Bhila, Ishmael
      foaf_surname: Bhila
      foaf_workInfoHomepage: http://www.librecat.org/personId=105772
  - foaf_Person:
      foaf_givenName: Ingvild
      foaf_name: Bode, Ingvild
      foaf_surname: Bode
  dct_date: 2024^xs_gYear
  dct_language: eng
  dct_publisher: ICRC Humanitarian Law & Policy Blog@
  dct_subject:
  - Algorithmic Bias
  - AI
  - Decision Support Systems
  - Autonomous Weapons Systems
  dct_title: The problem of algorithmic bias in AI-based military decision support
    systems@
...