Reflective strategies such as cognitive forcing, pre-commitment, and uncertainty communication reduce overreliance on AI and improve decision quality, but have been evaluated only as short-term single-session interventions¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? Strategies such as pre-commitment, uncertainty communication, and cognitive forcing have been shown to mitigate overreliance and improve decision quality, but only within single sessions. → Sander de Jong 2026

Evidence¶

Sander de Jong 2026¶

Sander de Jong. (2026). Open Questions Towards Skill-Sustaining Reliance in Reflective AI Engagement. Workshop paper presented at CHIWORK'26 Workshop on Human Agency and Skill in AI-Supported Work. https://arxiv.org/abs/2609.27726 doi:10.48550/arxiv.2609.27726

q1 · i? · theoretical · r2

Theoretical argument in the introduction of this position paper, citing prior empirical work. The paper states these strategies "have been shown to mitigate overreliance and improve decision quality" but stresses they were evaluated as short-term interventions within single sessions.

"Strategies such as pre-commitment, uncertainty communication, and added reflection steps through cognitive forcing have been shown to mitigate overreliance and improve decision quality"

Discussion¶

Related Claims¶

• A systematic review reports that over-reliance on AI dialogue systems fosters complacency and dependency and may weaken students' decision-making — the general claim this finding bears on, with the studies behind it
• The effectiveness of reflective AI-engagement mechanisms varies across users, depending on Need for Cognition, expertise, domain familiarity, and task difficulty — related
• Reviewed literature reports risks of overreliance, AI errors in complex tasks, and students' uncritical acceptance of AI-generated outputs — related
• As cited second-hand in an AI-literacy framework paper: ChatGPT use improved short-term essay scores but triggered metacognitive laziness with no significant knowledge-transfer gains — related
• One-session checklist (CRAAP) instruction in source evaluation did no better than the alternative methods it was compared with in two quasi-experiments — related
• Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts — related
• AI training for pre-service primary teachers is predominantly short-term interventions embedded within existing courses rather than standalone AI courses — related