CODIFYING ALGORITHMIC ACCOUNTABILITY IN CORPORATE DECISION-MAKING: RESPONSIBLE AI INTEGRATION IN GLOBAL CORPORATE LAW, ESG COMPLIANCE, AND EXECUTIVE LIABILITY STRUCTURES

As artificial intelligence (AI) becomes integral to corporate governance and decision-making, codifying algorithmic accountability is crucial for ensuring transparency, ethical compliance, and legal clarity. This paper explores how global corporate law is evolving to accommodate responsible AI frameworks, particularly within the realms of environmental, social, and governance (ESG) metrics and executive liability. By analyzing literature and integrating ESG-driven governance, the study identifies key mechanisms to embed algorithmic accountability in legal and operational structures. Visual models and quantitative data are included to highlight governance trends, regulatory gaps, and cross-border legal harmonization efforts.