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Caner Canyakmaz

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Aug 2026

Beyond the Black Box: Unraveling the Role of Explainability in Human-Artificial Intelligence Collaboration

An analytical model is developed that incorporates the defining features of human and machine intelligence, capturing the limited but flexible nature of human cognition with imperfect machine recommendations, and represents how AI-based explanations influence the DM’s belief in the algorithm’s predictive quality.

Tamer Boyacı, Caner Canyakmaz, Francis de Véricourt · 0 citations