Cognitive Bias Reduction through AI-Assisted Decision Support Tools

doi:N/A

eISSN: 2202-4859 / ISSN: None

Revenue Law Journal

2025, Volume 31, ISSUE 1 : 1-8

Research Article

Cognitive Bias Reduction through AI-Assisted Decision Support Tools

Dr. Rishav Sen Sharma

Department of Information Systems and Behavioral Analytics Eastern Institute of Technology & Management (EITM) Kolkata, West Bengal, India

Abstract

Cognitive biases significantly affect managerial judgment, strategic planning, and operational decision-making across industries. With the rise of data-driven organizations, AI-assisted decision support tools have emerged as essential mechanisms for reducing bias, improving consistency, and enhancing decision quality. This research analyzes existing behavioral theories, synthesizes technology-driven debiasing methods, and proposes an integrated Cognitive Bias Reduction Framework (CBRF) combining AI analytics, human–AI collaboration, explainable AI, behavioral nudges, and feedback loops. Figures and conceptual diagrams illustrate how AI tools intervene at various stages of the decision process. The study provides theoretical grounding, practical relevance, and future research pathways for organizations utilizing AI to mitigate human biases.

Keywords

Cognitive Bias

Decision Support Systems

AI-Assisted Decision-Making

Behavioral Economics

Debiasing Tools

Human–AI Collaboration

Organizational Decision Systems

License

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