What question did this study set out to answer?

The aim is to explore how AI can improve decision-making practices at the corporate board level.

February 22, 2026Open Access

The Algorithmic Boardroom: AI-Driven Governance and Strategic Decision Making

Key Points

The aim is to explore how AI can improve decision-making practices at the corporate board level.
Proposed a 4-pillar framework for algorithmic governance.
Outlined a four-stage operational process for AI implementation at the board level.
Reviewed current practices in AI applications in organizational functions.
Identified gaps in current board-level AI usage guidelines.
Demonstrated how AI can optimize governance practices and decision-making efficiency.
Highlighted potential for improved organizational outcomes through effective AI integration.

Abstract

Artificial Intelligence (AI) has seen a boost in a couple of years. Scholars and practitioners are proposing its use in various organizational functions i.e., recruitment, hiring, financial risk analysis, performance evaluation and reporting. However, guidelines for bringing it to corporate boards are scant. This article proposes how AI can effectively be used by corporate board members to get optimal results from the technology and frame reliable decision-making practices at company board level. Specifically, a 4-pillar framework for algorithmic governance has been proposed along with a four-stage operational process to effectively implement AI assisted board governance.

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Cite This Study

Ch. Mahmood Anwar (Fri,) studied this question.

synapsesocial.com/papers/699a9de0482488d673cd41a5 https://doi.org/https://doi.org/10.46697/001c.157710

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