Human-AI Collaboration: Enhancing Decision-Making in Critical Sectors

Authors

DOI:

https://doi.org/10.4314/ggb6wr66

Keywords:

Human-AI collaboration, Decision-making, Critical sectors, Artificial intelligence, Predictive analytics

Abstract

The integration of Artificial Intelligence (AI) into critical sectors such as healthcare, finance, security, and manufacturing has transformed decision-making processes. Human-AI collaboration leverages the strengths of both human intuition and machine intelligence to enhance accuracy, efficiency, and reliability in decision-making. AI systems provide data-driven insights, predictive analytics, and automation, while human expertise ensures ethical considerations, contextual understanding, and adaptability. This synergy improves risk assessment, crisis management, and strategic planning, ultimately leading to more informed and effective decisions. However, challenges such as trust, transparency, and bias in AI models must be addressed to maximize the benefits of human-AI collaboration. This paper explores the impact, benefits, and challenges of integrating AI with human decision-making across critical sectors.

Author Biographies

  • Enefiok Archibong Etuk

     

    Department of Computer Science, Michael Okpara University of Agriculture, Umudike, Abia State Nigeria.

     

  • Omankwu, Obinnaya Chinecherem Beloved, ichael Okpara University of Agriculture, Umudike, Abia State Nigeria.

     

    Department of Computer Scien

Published

2025-02-05

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