Human-AI Collaboration: Enhancing Productivity and Decision-Making

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Vol 2 No 3 (2024): International Journal of Education, Management, and Technology
Page Numbers: 387-417
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Published: Nov 28, 2024
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Authors:
Olayiwola Blessing Akinnagbe1
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Olayiwola Blessing Akinnagbe
Prema Consulting, Digital Banking Services and Research, Nigeria

Abstract

The integration of Artificial Intelligence (AI) into various sectors has catalyzed significant improvements in productivity and decision-making. This paper explores the collaborative potential between humans and AI, focusing on how this synergy can enhance both operational efficiency and decision-making accuracy. While AI excels in processing vast amounts of data and automating repetitive tasks, human capabilities in creativity, intuition, and emotional intelligence complement AI systems, enabling more nuanced and informed decisions. Through a comprehensive review of existing literature, case studies, and real-world applications, the paper examines how AI tools, such as predictive analytics, machine learning, and cognitive computing, support human decision-makers in fields such as healthcare, finance, and business. Despite the clear benefits, challenges persist, including technical integration issues, resistance to AI adoption, and ethical concerns related to bias and transparency. This paper proposes a framework for optimizing human-AI collaboration, emphasizing complementary roles and the development of hybrid intelligence systems. It concludes by identifying future research directions and policy implications, aimed at fostering more effective and ethical human-AI partnerships in the workplace.

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How to Cite
Akinnagbe, O. B. (2024). Human-AI Collaboration: Enhancing Productivity and Decision-Making. International Journal of Education, Management, and Technology, 2(3), 387-417. https://doi.org/10.58578/ijemt.v2i3.4209

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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

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