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SUMMARY:The Answer Is 42: Delegated Autonomy and Intransparent Reasoning i
 n Public Sector Decision-Making - Laura Crompton\, Josefine Ruppenthal
DTSTART;TZID=US/Central:20260717T133000
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DTSTAMP:20260726T082213Z
UID:pretalx-iacap-2026-QJEKGW@pretalx.iacapconf.org
DESCRIPTION:Public sector adoption of AI is frequently framed as a step to
 ward more efficient and effective service provision. Commonly framed as de
 cision-support tools\, these systems do more than assist officials. They i
 nfluence how decisions are prepared and structured before any formal judge
 ment is made. This paper argues that such pre-structuring alters the archi
 tecture of administrative decision-making in ways that current governance 
 and ethics frameworks fail to capture\, with direct implications for democ
 ratic legitimacy.\nTo analyse this shift\, the paper introduces the concep
 t of delegated autonomy. Delegated autonomy describes situations in which 
 public officials retain formal authority and responsibility while algorith
 mic systems shape significant elements of the decision process by preselec
 ting available options. Under these conditions\, those who shape outcomes 
 are no longer identical with those who are held accountable for them. This
  misalignment poses challenges for transparency and for citizens’ abilit
 y to understand and contest administrative decisions.\nThe paper further a
 rgues that the way officials rely on AI recommendations cannot remain a ma
 tter of individual judgement. Instead\, institutional arrangements must de
 fine how algorithmic inputs are integrated into decision processes\, when 
 they may be overridden\, and how such actions must be justified. This fram
 ework helps explain how the gradual erosion of human decision space challe
 nges democratic legitimacy in AI-supported administration.
LOCATION:Executive Conference Room
URL:https://pretalx.iacapconf.org/iacap-2026/talk/QJEKGW/
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