An open-source framework for large language model evaluations. Inspect can be used for a broad range of evaluations that measure coding, agentic tasks, reasoning, knowledge, behavior, and multi-modal understanding.

This is a complete workshop package for the teaching of practical governance tools when using AI in collaborative teams. It covers the theoretical background, the facilitator notes for each phase, and the student workbook.

KOBI is a groundbreaking reading app specifically designed to support children with dyslexia. Grounded in robust scientific principles and a deep understanding of reading difficulties, KOBI integrates evidence-based methodologies to create an effective and engaging learning experience. Here is the science behind KOBI, highlighting its key features and the research that informs its development.

The GDA leverages aerial imagery, satellite data, and machine learning techniques to evaluate the damage in areas impacted by natural disasters. This tool greatly enhances the efficiency and precision of disaster response operations.

Croissant is an open-source framework developed by MLCommons to standardise dataset descriptions, enhance data discoverability, and facilitate automated use across machine-learning tasks. Croissant ensures datasets are consistently documented by providing structured metadata schemas, improving interoperability, transparency, and ease of integration.

The Infosys Responsible AI toolkit provides a set of APIs to integrate safety, security, privacy, explainability, fairness, and hallucination detection into AI solutions, ensuring trustworthiness and transparency.

The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.

BSI Flex 1890 defines terms, abbreviations, and acronyms for the connected and automated vehicles (CAVs) sector, focused on those relating to vehicles and associated technologies.

VDE-AR-E 2842-61-1 specifies a general framework for the development of trustworthy solutions and trustworthy autonomous / cognitive systems, including the requirements for the subsequent phases of Product life cycle (e.

The Work Item will identify and describe use cases and scenarios that are enabled with enhanced experience, through the use of network intelligence.

This Work Item will provide terms and definitions used within the scope of the ISG ENI, in order to achieve a "common language" across all the ISG ENI documentation.

This Recommendation presents an overview of the framework for a language learning system based on speech and natural language processing (NLP) technology.

Standard for Ontologies for Robotics and Automation, to represent additional domain-specific concepts, definitions, and axioms commonly used in Autonomous Robotics (AuR).

This document establishes terminology for AI and describes concepts in the field of AI.

New IEEE Standard defining a set of operator interfaces frequently used in artificial intelligence (AI) applications

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Explainability for Vision Transformers

The open big data serving engine. https://vespa.ai

An end-to-end model risk management platform that automates model documentation and dramatically simplifies AI model validation.

Citrusx offers a multifaceted solution to connect all stakeholders in the company through an SDK, user-friendly UI, and automated reporting system.