AI-Driven Corporate Decision-Making and Directors' Fiduciary Duties: Can an Algorithm Replace the Boardroom?

Artificial intelligence (AI) is increasingly used to analyse corporate data, forecast commercial outcomes, identify compliance risks and rank strategic alternatives. These capabilities can improve the speed and breadth of board-level analysis, but they also raise a fundamental question of company law: when an algorithm materially influences a corporate decision, who remains accountable for the outcome? This paper examines that question principally through section 166 of the Companies Act, 2013, which requires directors to act in good faith, exercise care, skill and diligence, and apply independent judgment. It argues that AI may support directors but cannot displace their fiduciary role. The central distinction is between using a system as an analytical aid and allowing its output to become a substitute for genuine deliberation. The paper considers automation bias, limited explainability, data quality, vendor dependence and the risk of fragmented accountability. It then draws carefully bounded lessons from the European Union’s AI regulatory framework and Indian financial regulation, before proposing governance measures concerning material-use disclosure, board competence, meaningful explanations, documentation, validation and continuing human responsibility. The paper concludes that corporate governance can become increasingly algorithm-assisted, but the legal responsibility for corporate judgment must remain traceable to accountable human decision-makers.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23734959
Primary Topic
Digitalization, Law, and Regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Driven Corporate Decision-Making and Directors' Fiduciary Duties: Can an Algorithm Replace the Boardroom?

Sristi Arya, Akshat Bose
1 links
Zenodo (CERN European Organization for Nuclear Research)
Digitalization, Law, and Regulation
article

AI-Driven Corporate Decision-Making and Directors' Fiduciary Duties: Can an Algorithm Replace the Boardroom?

Sristi Arya, Akshat Bose
article en

Abstract

Artificial intelligence (AI) is increasingly used to analyse corporate data, forecast commercial outcomes, identify compliance risks and rank strategic alternatives. These capabilities can improve the speed and breadth of board-level analysis, but they also raise a fundamental question of company law: when an algorithm materially influences a corporate decision, who remains accountable for the outcome? This paper examines that question principally through section 166 of the Companies Act, 2013, which requires directors to act in good faith, exercise care, skill and diligence, and apply independent judgment. It argues that AI may support directors but cannot displace their fiduciary role. The central distinction is between using a system as an analytical aid and allowing its output to become a substitute for genuine deliberation. The paper considers automation bias, limited explainability, data quality, vendor dependence and the risk of fragmented accountability. It then draws carefully bounded lessons from the European Union’s AI regulatory framework and Indian financial regulation, before proposing governance measures concerning material-use disclosure, board competence, meaningful explanations, documentation, validation and continuing human responsibility. The paper concludes that corporate governance can become increasingly algorithm-assisted, but the legal responsibility for corporate judgment must remain traceable to accountable human decision-makers.

Zenodo (CERN European Organization for Nuclear Research)
Peace, justice, and strong institutions
Openalex Percentile: Top 3%
Digitalization, Law, and Regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
AI-Driven Corporate Decision-Making and Directors' Fiduciary Duties: Can an Algorithm Replace the Boardroom? — Sristi Arya, Akshat Bose · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS