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June 21, 2026Academy of Management Perspectives

When Should Your Team Override AI? A Trust Calibration Routine

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Authors

IAIva AtanassovaHKHuda KhanZKZaheer Khan

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Overview

Randomized trial demonstrates a trust calibration routine that improves decision-making in teams using AI, suggesting better outcomes.

Key Points

  • The aim is to provide guidance on when teams should rely on AI and when they should override its recommendations.
  • Proposed a five-stage trust calibration routine: co-sensing, co-framing, co-deciding, action and feedback, trust reconfiguration.
  • Identified core indicators of calibrated trust: override rates and override accuracy.
  • Illustrated the routine's applicability through examples involving credit scoring and a customer service assistant.
  • Implemented routine led to improved decision quality among teams.
  • Higher override accuracy was achieved without significantly increasing override rates.
  • Demonstrated that trust calibration varies based on AI presentation.

Cite This Study

Atanassova et al. (2026) studied this question.

synapsesocial.com/papers/6a3780d724f042ddf4c5adeahttps://doi.org/10.5465/amp.2025.0019
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Building Appropriate Trust in Artificial Intelligence: Examining a Dynamic Trust Calibration Model and an Intervention2026
  2. 2Calibrated adaptive framework for trustworthy human and artificial intelligence decision systems2026
  3. 3When Should Managers Trust Generative AI? Calibrating Human Reliance from Algorithm Aversion to Over-Reliance2026
  4. 4Dynamic Trust Calibration Using Contextual Bandits2025
  5. 5Human-AI Teaming on the Factory Floor: Cognitive Load, Trust Calibration, and Productivity Outcomes2026