Corporate Governance and AI Ethics: Strategic Framework for Ethical Decision-Making in Business

In this age of accelerated technological development, AI has had a major impact on corporate governance. Ethical, legal, and decision-making factors have been affected. Artificial intelligence can improve efficiency, transparency, and risk management, but its use raises ethical concerns about algorithmic bias, data privacy, and accountability. This paper examines the relationship between AI and corporate governance in an effort to establish a paradigm for ethical AI use. The study addresses AI governance issues like risk management, bias reduction, ethical compliance, and transparency. The research examines the primary governance issues using sector-specific facts and statistical insights. The findings indicate that risk management and ethical compliance are given importance, albeit artificial intelligence transparency and bias reduction require improvement. The report prioritizes ethical active leadership and AI government guidelines that supersede any artificial intelligence governance requirements to boost confidence, reinforce regulation, and ensure sustainable business. Some of the requirements can accomplish such objectives. Investing in AI can lower risk, make the firm credible, and bring shareholder confidence. Some recommendations on improved governance structure for AI, as well as additional studies on responsible uses of AI, follow the report.

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Corporate Governance and AI Ethics: Strategic Framework for Ethical Decision-Making in Business

Semantic Scholar · 2025

Abstract

In this age of accelerated technological development, AI has had a major impact on corporate governance. Ethical, legal, and decision-making factors have been affected. Artificial intelligence can improve efficiency, transparency, and risk management, but its use raises ethical concerns about algorithmic bias, data privacy, and accountability. This paper examines the relationship between AI and corporate governance in an effort to establish a paradigm for ethical AI use. The study addresses AI governance issues like risk management, bias reduction, ethical compliance, and transparency. The research examines the primary governance issues using sector-specific facts and statistical insights. The findings indicate that risk management and ethical compliance are given importance, albeit artificial intelligence transparency and bias reduction require improvement. The report prioritizes ethical active leadership and AI government guidelines that supersede any artificial intelligence governance requirements to boost confidence, reinforce regulation, and ensure sustainable business. Some of the requirements can accomplish such objectives. Investing in AI can lower risk, make the firm credible, and bring shareholder confidence. Some recommendations on improved governance structure for AI, as well as additional studies on responsible uses of AI, follow the report.

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