Trust in algorithmic advice increases with task complexity

Vertaalde titel van de bijdrage: Vertrouwen in algoritmische adviezen neemt toe met de complexiteit van de taak

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The use of algorithms in decision-making has increased in various fields, such as medicine, government, and business. Despite their proven accuracy, people often disregard algorith-mic advice. When it comes to complex tasks, however, there is some evidence that people are more inclined to follow the advice of algorithms. This evidence is largely based on decision-making in rather artificial contexts, however, and studies in this field tend to rely on rather crude measures of complexity. We therefore investigate the effect of task com-plexity on trust in model-based advice in a realistic setting, measuring complexity in several standardized ways. We conducted an experiment with 151 participants, each assessing 20 real-life court cases of crimes (in the Dutch legal system). Participants were first asked to estimate the jailtime for each crime. They then received algorithmic advice, and were al-lowed to adjust their initial estimate. We measured task complexity in several ways. First, by simply counting the number of violations per case. Second, we focused on all the miti-gating and aggravating circumstances associated with a specific case. Finally, we narrowed our focus to only the circumstances mentioned in the case text and concentrated on the violated sections of the law. We then used multi-level regression analysis (assessments within participants) on the target variable Weight on Advice (WOA) to assess the impact of complexity on trust in algorithmic advice. Our findings indicate that participants were more inclined to trust algorithmic advice as the complexity of tasks increased, for two of the three operationalizations of task complexity.
Vertaalde titel van de bijdrageVertrouwen in algoritmische adviezen neemt toe met de complexiteit van de taak
Originele taal-2Engels
TitelTrust in algorithmic advice increases with task complexity
SubtitelSecond International Conference, HAR 2023, Paris, France, September 19–22, 2023, Proceedings
RedacteurenJean Baratgin, Baptiste Jacquet, Hiroshi Yama
UitgeverijSpringer
Pagina's86-106
Aantal pagina's21
ISBN van elektronische versie978-3-031-55245-8
ISBN van geprinte versie978-3-031-55244-1
DOI's
StatusGepubliceerd - 15 mrt. 2024
Evenement3nd International Conference on Human and Artificial Rationalities - Facultés Libres de Philosophie et de Psychologie, Paris , Frankrijk
Duur: 19 sep. 202322 sep. 2023
http://har-conf.eu/

Publicatie series

NaamLecture Notes in Computer Science (LNCS)
Volume14522
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres3nd International Conference on Human and Artificial Rationalities
Verkorte titelHAR 2023
Land/RegioFrankrijk
StadParis
Periode19/09/2322/09/23
Internet adres

Trefwoorden

  • Trust
  • Artificial intelligence
  • Algorithmic advice
  • Task complexity

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