Beyond Efficiency: Governing Human–Generative AI Decision Symbiosis in Global Organizations
DOI:
10.47353/jmd.v1i1.374Published:
2026-04-11Downloads
Abstract
The rapid advancement of generative artificial intelligence (GenAI) is reshaping organizational decision-making, moving beyond efficiency-driven automation toward a model of human–AI decision symbiosis. Unlike traditional AI systems, GenAI actively contributes to knowledge generation, problem framing, and strategic reasoning, thereby redefining the boundaries between human judgment and machine intelligence. However, this transformation introduces significant governance challenges related to transparency, trust, accountability, and ethical responsibility. This study aims to explore how global organizations can effectively govern human–GenAI decision symbiosis beyond a narrow focus on efficiency. Using a descriptive qualitative approach based on an integrative literature review, the study synthesizes interdisciplinary insights from information systems, management, and AI ethics. The analysis identifies three core dimensions of decision symbiosis: cognitive augmentation, trust calibration, and distributed accountability. These dimensions highlight the need for balanced interaction between human capabilities and AI-generated outputs. The study proposes a multi-layered governance framework comprising strategic, operational, and technical levels. This framework emphasizes the importance of aligning organizational values with AI deployment, implementing robust oversight mechanisms, and ensuring transparency and fairness in AI systems. The findings also reveal inherent tensions between speed and control, automation and human oversight, and global standardization and local adaptation. This research contributes to the literature by advancing the concept of responsible augmentation, positioning governance as a critical enabler of sustainable human–AI collaboration. It offers practical implications for leaders and policymakers seeking to harness GenAI while mitigating associated risks. Ultimately, effective governance of decision symbiosis is essential for achieving not only efficiency but also accountability and long-term organizational resilience.
Keywords:
Generative AI governance human–AI decision symbiosis organizational decision-making responsible AI global organizationsReferences
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