Summary (Resumen) The policy seeks to regulate the use of artificial intelligence tools in the district judiciary of the state of Kerala, India. The document establishes that these tools should
Summary (Resumen) The guidelines establish a national framework for AI governance in India, based on seven principles: trust, people-centred approach, fairness, accountability, transparency, safety and sustainability. They include recommendations on
Summary (Resumen) The document establishes design principles for systems based on large language models (LLMs) applying the Zero-trust architecture approach. It is aimed at system architects, operators and authorities in
Summary (Resumen) The document establishes an ethical framework for the development, implementation, and use of trustworthy artificial intelligence systems. It defines three key components: legality, ethics, and robustness. It proposes
Summary (Resumen) ALTAI is a self-assessment tool for European public or private organisations developing AI systems, based on seven key requirements for trustworthy AI: Human Agency and Oversight; Technical Robustness
Summary (Resumen) “This ELA handbook aims to enhance the understanding of bias and related legal, ethical and practical issues that may arise in the development and utilization of algorithms and
Summary (Resumen) The document provides guidance from the EDPS to ensure compliance with data protection regulations -EU Regulation 2018/1725- in the use of generative AI systems by European Union institutions
Summary (Resumen) This resource provides model contract clauses to support public administrations in procuring artificial intelligence systems classified as high risk. The clauses cover aspects such as risk management, data
Summary (Resumen) This guide aims to provide valuable information and practical recommendations to help identify and mitigate common technical risks associated with AI systems in the European Union. It offers