Augmented Decision-Making

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Authors: R. N. Ravikumar, S. Aarthi
Cited by: 2
References: 60

Abstract

Artificial Intelligence (AI) is transforming strategic decision-making in distributed and hybrid workplaces by enhancing agility, innovation, and responsiveness. This chapter explores how AI-augmented systems combine data-driven insights and human cognition to support anticipatory and adaptive strategies. It examines frameworks for human-AI collaboration that reduce cognitive bias, improve ethical governance, and promote transparent decision ecosystems. Empirical insights reveal that AI dashboards, predictive analytics, and intelligent models accelerate innovation while ensuring accountability. The discussion emphasizes AI's role as a strategic enabler that amplifies human creativity rather than replacing it. By integrating algorithmic intelligence with ethical leadership, organizations can achieve sustainable agility, innovation, and resilience in an increasingly digital and decentralized environment.

Fields of Study & Subjects

Innovation Sustainability Human-Machine Systems Ethics and Social Impacts of AI Corporate Management and Leadership

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
227–258
Publication date
21 January 2026
Document type
Book chapter