kaal:position:2026-07-31-7555
AI-Driven Financial Transparency and Corporate Governance: Enhancing Accounting Practices with Evidence from Jordan presents the following source proposition: A combination of structural equation modeling (SEM) and multiple regression analysis was employed to test the relationships between AI-driven transparency, governance mechanisms, and regulatory frameworks. This proposition is pertinent to Kaal's source-bound claim that The principal-agent problem in complex financial products is exacerbated by hierarchies in financial institutions, which create multiple layers of agency relationships between the traders using the products and the principals bearing the real economic risk. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
ai-and-agentscorporate-governancerisk-and-incentiveshistorical-responsescholarly-literaturecrossref