Volume 02, Issue 04
Published on: April 2026
HUMAN-AI COLLABORATION AND DECISION MAKING
Yash Tyagi Lakshay Dr. Deepti Sharma
Department of Information Technology Jagan Institute of Innovative Management Studies (JIIMS) Rithala Delhi India
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Abstract
The collaboration between humans and artificial intelligence (AI) 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 outcomes. We have explores the theoretical foundations, methodologies, and practical implications of human–AI collaborative systems. It investigates how such systems influence decision accuracy, trust, and accountability. This study addresses this critical gap by conducting a systematic review
, culminating in a novel conceptual framework. The framework identifies two critical dimensions, AI-human dynamics and decision typologies, that shape decision outcomes and introduces four distinct paradigms of AI-human collaborative decision-making: adaptive intuitive decision, programmed algorithmic decision, interpretive analytical decision and integrative hybrid decision. By synthesizing these paradigms, this research advances the theoretical understanding of hybrid decision-making systems and provides actionable insights for organizations navigating complex and AI-driven environments. By elucidating the mechanisms and trade-offs inherent in AI-human collaboration, this work lays a robust foundation for future research on adaptive decision systems in an era marked by accelerating technological change.
KEYWORDS: Human-AI collaboration, decision making, Artificial intelligence, Productivity, Machine learning.
, culminating in a novel conceptual framework. The framework identifies two critical dimensions, AI-human dynamics and decision typologies, that shape decision outcomes and introduces four distinct paradigms of AI-human collaborative decision-making: adaptive intuitive decision, programmed algorithmic decision, interpretive analytical decision and integrative hybrid decision. By synthesizing these paradigms, this research advances the theoretical understanding of hybrid decision-making systems and provides actionable insights for organizations navigating complex and AI-driven environments. By elucidating the mechanisms and trade-offs inherent in AI-human collaboration, this work lays a robust foundation for future research on adaptive decision systems in an era marked by accelerating technological change.
KEYWORDS: Human-AI collaboration, decision making, Artificial intelligence, Productivity, Machine learning.
How to Cite this Paper
Tyagi, Y., Lakshay, & Sharma, D. (2026). Human-AI Collaboration and Decision Making. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.523
Tyagi, Yash, et al.. "Human-AI Collaboration and Decision Making." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.523.
Tyagi, Yash, Lakshay, and Deepti Sharma. "Human-AI Collaboration and Decision Making." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.523.
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