AI Facts is a free, open-source Decision Terrain tool with an independently developed checklist mapped to NIST AI RMF 1.0. It is not affiliated with, sponsored by, or endorsed by NIST. Teams document self-reported safeguards, evidence notes, gaps, owners, and next actions, then export assessment reports and AI Facts labels. This public-alpha tool does not verify evidence or establish certification, compliance, or safety.

GovAI is the official Australian Government AI platform. Announced in July 2025, GovAI offers Australian Public Service (APS) staff secure access to advanced AI capabilities through government-controlled infrastructure. A key aspect of the platform is the Interactive Learning Environment that provides hands-on-training using multiple AI models, enabling staff to build practical AI skills in a secure, risk-free environment.

GovAI is the official Australian Government technology AI platform. Announced in July 2025, GovAI offers Australian Public Service (APS) staff secure access to advanced AI capabilities through government-controlled infrastructure. GovAI provides technical services for Australian Government agencies building AI solutions. Our hosting environments and model access services help technical teams experiment, develop and deploy generative AI applications in a secure, compliant environment.

ALIA is Spain’s public and open AI infrastructure for Spanish and co-official languages. This ensures digital sovereignty and provides language models and related resources that public administrations, researchers and companies can use to build trustworthy AI services. It was created to expand the availability of transparent AI in Spain’s languages and to improve public services, research and innovation.

A three-layer, enterprise-wide AI risk management and governance framework that operationalises trustworthy AI from board strategy to operational controls and organisational resilience.

This handbook provides guidance on ethical and legal responsibilities associated with the use of high-risk AI systems in the EU civil security domain, focusing on use cases in border control, policing, and immigration. The aims of the handbook are to provide a structured pathway for engaging and understanding deployer responsibilities as outlined in the AI Act, focusing on high-risk AI systems, and to help establish processes for the ethical use of AI solutions.

GovLLM is an open-source runtime governance framework for LLM systems. It treats regulatory compliance as a continuous signal derived from production observability rather than a static audit verdict. A panel of small language model judges evaluates each response against governance profiles.

Participatory Harm Auditing Workbenches and Methodologies (PHAWM) is a guiding framework and online tool for participatory AI auditing. It enables people without a technical AI background to audit the harms of AI applications. The methodology guides organisations through planning and completing an audit. The workbench takes auditors through four phases: understand, define, evaluate and recommend. Audit results inform decisions on whether to adopt AI. PHAWM was co-designed with end-users and affected people, and is free to use.

The Resaro AI Solutions Quality Index (ASQI) provides a transparent, use-case-specific measure of AI quality — for applications such as customer chat services, object recognition, deepfake detection, or x-ray anomaly identification.

MISSION KI is developing a voluntary quality standard guideline for artificial intelligence (AI) that strengthens the reliability and trustworthiness of AI applications and systems. It sets a voluntary, evidence-based self-assessment framework for AI providers below the EU AI Act’s high-risk threshold. It defines six quality dimensions (data governance, non-discrimination, transparency, human oversight, reliability, AI-specific cybersecurity) and a stepwise procedure: describe the use case, analyse protection needs, rate requirements via a VCIO catalogue, document tests/evidence, validate findings, issue a report, and monitor validity.

MISSION KI's Compliance Monitor is a tool for monitoring compliance with legal frameworks to facilitate interoperability, data flows and benefit sharing.

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.

ADMIT is a research tool within a broader methodological framework combining quantitative and qualitative strategies to identify, analyse, and mitigate social implications associated with automated decision-making systems while enhancing their potential benefits. It supports comprehensive assessments of sociotechnical impacts to inform responsible design, deployment, and governance of automation technologies.

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.

PolicyPilot is designed to assist users in creating and managing AI policies, streamlining AI governance with automated compliance monitoring and risk management.

HiddenLayer’s AISec Platform is a GenAI Protection Suite purpose-built to ensure the integrity of AI models throughout the MLOps pipeline. The platform provides detection and response for GenAI and traditional AI models to detect prompt injections, adversarial AI attacks, and digital supply chain vulnerabilities.

COMPL-AI is an open-source compliance-centered evaluation framework for Generative AI models

The General Understanding on AI and Copyright, released by Japan Copyright Office aims at providing clarity on how Japan's current Copy Right Act should be applied in relation to AI technologies. Three main topics presented include: the training stage of AI developments, the generation, utilisation stage, and copyrightability of AI-generated material.

The Algorithm Charter for Aotearoa New Zealand is a set of voluntary commitments developed by Stats NZ in 2020 to increase public confidence and visibility around the use of algorithms within Aotearoa New Zealand’s public sector. In 2023, Stats NZ commissioned Simply Privacy to develop the Algorithm Impact Assessment Toolkit (AIA Toolkit) to help government agencies meet the Charter commitments. The AIA Toolkit is designed to facilitate informed decision-making about the benefits and risks of government use of algorithms.

PRIDAR (Prioritization, Research, Innovation, Development, Analysis, and Review) A Risk Management Framework