Summary (Resumen) ChileCompra’s Public Procurement Directive No. 44/2026 provides guidelines for the procurement of projects incorporating data science and artificial intelligence within the Chilean public procurement system. Its main objective
Summary (Resumen) These guidelines are aimed at all state administration bodies that decide to develop, implement or use tools based on artificial intelligence systems in Chile. They emphasise principles such
Summary (Resumen) “Estas Recomendaciones tienen por objeto orientar y promover la adopción de buenas prácticas en torno a la transparencia y publicidad de los sistemas de decisiones automatizadas y semiautomatizadas
Summary (Resumen) “The [AIA] is a mandatory risk assessment tool intended to support the [Canadian] Treasury Board’s Directive on Automated Decision-Making. The tool is a questionnaire that determines the impact
Summary (Resumen) The Directive on Automated Decision-Making sets rules for how Canadian federal institutions use automated decision systems to ensure decisions are legal, fair, transparent, and accountable. It applies to
Summary (Resumen) “This document provides guidance to federal institutions of the Government of Canada on their use of generative AI tools. This includes instances where federal institutions are deploying these
Summary (Resumen) “The Federal Court [of Canada] will follow the Principles and Guidelines in this policy when using Artificial Intelligence (AI). The Court will not use AI, and more specifically
Summary (Resumen) It establishes twelve guiding principles for the ethical and effective use of artificial intelligence in the Government of Canada, in line with the shared approach of the Digital
Summary (Resumen) “The purpose of the Guidelines is to raise awareness of the risks inherent in the use of artificial intelligence (AI) tools, while providing a principled framework for understanding