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TruaceTracing the truth around AIWednesday, July 15, 2026
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TRV-2026-0226Certified recordPeer-reviewed

Advancing Decision-Making through AI-Human Collaboration: A Systematic Review and Conceptual Framework

Abstract The interplay between humans and artificial intelligence (AI) in decision-making has become increasingly intricate and significant. Despite rapid advancements, the literature remains fragmented, with limited integrative frameworks to explain how AI-human dynamics and decision-making typologies shape outcomes. This study addresses this critical gap by conducting a systematic review and bibliometric analysis of 627 articles, culminating in a novel conceptual framework. The framework identifies two critica…

Science · The Trace — both readings · certified 2026-07-15 · v1 · article view · machine-readable

Current reading — gain

A systematic review and bibliometric analysis of 627 articles produced a conceptual framework with two dimensions and four paradigms that advances theoretical understanding of hybrid decision-making and provides actionable insights for organizations in AI-driven environments.

Current reading — problem

Existing literature on AI-human decision-making was fragmented and lacked integrative frameworks to explain how AI-human dynamics and decision typologies shape outcomes despite increasingly intricate human-AI interplay.

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Truvace Impact Record TRV-2026-0226, v1: “Advancing Decision-Making through AI-Human Collaboration: A Systematic Review and Conceptual Framework.” Truvace, 2026-07-15. /record/TRV-2026-0226 (accessed at citation time). sha256 8b6fca4a799222f4…

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