Research on artificial intelligence governance, ISO 42001 and algorithmic risk management frameworks in Latin America.
The AI and governance axis brings together research dedicated to the systematic management of artificial intelligence within regulated organizations. From Shadow AI detection to the convergence between ISO 42001 and the EU AI Act, these studies provide primary evidence collected in the field across 7 Latin American countries. Findings reveal that 73% of organizations in the region operate AI models without formal governance, and that ISO 42001 adoption can reduce regulatory risk by 40-60% when implemented as an integrated management system. This cluster includes practical adoption guides, comparative analysis with international regulatory frameworks, and case studies on ethical AI auditing with verifiable criteria.
ISO 42001 is the first international standard for AI management systems (AIMS). It establishes requirements for managing algorithmic risks, bias and transparency in organizations that develop or deploy AI systems.
Shadow AI refers to the use of AI models without the organization's knowledge or formal governance. It is detected through network traffic audits, tool inventories and interviews with operational teams.
Both standards share the Annex SL structure, enabling integration of policies, risk analysis and internal audits. Organizations with ISO 27001 can reduce ISO 42001 implementation effort by 30-35%.
The most frequent gaps include absence of AI system inventory (78%), lack of algorithmic impact assessment (65%) and undocumented AI governance policies (71%).
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