AI-Augmented Leadership: Enhancing Human Decision-Making

Artificial Intelligence (AI) is transforming leadership by enhancing how decisions are made in organizations. Leaders today face increasingly complex challenges that demand quick and accurate decision-making. AI provides tools to analyze vast amounts of data, predict outcomes, and support effective strategies. Rather than replacing human decision-making, AI works alongside leaders, sharpening their judgment and enabling them to navigate uncertainty with greater confidence. This journal explores how AI helps leaders make smarter decisions through real-world examples. Organizations like Amazon, IBM, and Google have effectively used AI to optimize operations, improve healthcare outcomes, and enhance employee engagement, demonstrating the practical benefits of AI-driven leadership. These examples show how AI supports leaders in adapting to challenges, improving performance, and driving innovation. The study also outlines a practical framework for integrating AI into leadership, emphasizing the importance of clear problem definition, ethical considerations, and ensuring human expertise remains central. By addressing these factors, AI can enhance decision-making while maintaining transparency and accountability. This paper highlights how AI is revolutionizing leadership by complementing human skills, providing leaders with the tools they need to make faster, more accurate, and informed decisions. It offers valuable insights and strategies for leveraging AI effectively, ensuring leaders remain prepared for the evolving demands of the future.

Authors

Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2024-12-01
DOI
https://doi.org/10.35629/5252-0612582585
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
Controls
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article

AI-Augmented Leadership: Enhancing Human Decision-Making

Isangadighi Wisdom
1 citations
International Journal of Advances in Engineering and Management
Big Data and Business Intelligence
0.53
article

AI-Augmented Leadership: Enhancing Human Decision-Making

Isangadighi Wisdom
article en
1 citations

Abstract

Artificial Intelligence (AI) is transforming leadership by enhancing how decisions are made in organizations. Leaders today face increasingly complex challenges that demand quick and accurate decision-making. AI provides tools to analyze vast amounts of data, predict outcomes, and support effective strategies. Rather than replacing human decision-making, AI works alongside leaders, sharpening their judgment and enabling them to navigate uncertainty with greater confidence. This journal explores how AI helps leaders make smarter decisions through real-world examples. Organizations like Amazon, IBM, and Google have effectively used AI to optimize operations, improve healthcare outcomes, and enhance employee engagement, demonstrating the practical benefits of AI-driven leadership. These examples show how AI supports leaders in adapting to challenges, improving performance, and driving innovation. The study also outlines a practical framework for integrating AI into leadership, emphasizing the importance of clear problem definition, ethical considerations, and ensuring human expertise remains central. By addressing these factors, AI can enhance decision-making while maintaining transparency and accountability. This paper highlights how AI is revolutionizing leadership by complementing human skills, providing leaders with the tools they need to make faster, more accurate, and informed decisions. It offers valuable insights and strategies for leveraging AI effectively, ensuring leaders remain prepared for the evolving demands of the future.

International Journal of Advances in Engineering and ManagementVol. 06(12)
Openalex Percentile: Top 22%
Big Data and Business Intelligence
0.53
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AI-Augmented Leadership: Enhancing Human Decision-Making — Isangadighi Wisdom · International Journal of Advances in Engineering and Management (2024) | TGRS Research Map | TGRS