Titre / Title: Fighting deskilling in Human–AI systems: Behavioral experiments and interventions in groups for accurate evaluation of information
Projet Ciblé (PC) / Targeted Project (PC): PC3 MATCHING – Collaboration with intelligent systems
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Etat du sujet / State of the subject: Disponible / Available
Date de publication / Publication date: 13/04/2025
Institution de rattachement / Institutional affiliation: CNRS
Résumé / Abstract: Concerns have been raised about AI over-reliance, cognitive offloading and the erosion of critical cognitive skills. Deskilling describes the loss of skills due to technological changes, including the use of AI system. Here we focus on skills required to make decisions in networked systems in which AI overreliance may reduce the ability to critically evaluate the veracity of news headlines. First, we will test AI-assisted groups (15 teams, 150 participants) and Human only groups (15 teams, 150 participants). We hypothesize that : (a) the AI-assisted groups, who receive AI-generated credibility scores for each news headline, will lead to deskilling (reduced critical thinking) over time (4 weeks period); (b) further AI removal leads to reduced critical thinking engagement compared to the Humans-only Group ; (c) The Human-Only Group will demonstrate better skill retention and more effective discussion strategies in the final phase of the task. This first experiment should demonstrate experimentally that assessment of news veracity with AI can lead to reduced critical thinking. Second, we propose a behavioral experiment to mitigate the deskilling effects of AI-assisted news evaluation. To do this, we will implement 3 psychological inoculation interventions, consisting in preemptive cognitive training that helps individuals to resist misinformation and over-reliance on AI. Together, these large experiments and novel inoculation strategies should show how to strengthen critical thinking in networked groups with or without AI assistance.
Détails du sujet / Subject details: PDF
Directeur / directrice de thèse / Main advisor: Jean-Claude Dreher (dreherjeanclaude@gmail.com) – Institut des Sciences Cognitives, CNRS (https://dreherteam.wixsite.com/neuroeconomics)
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