FloodMapp is a technology company that specialises in rapid real-time flood forecasting and flood inundation mapping to provide greater warning time and situational awareness.

Pano - Actionable Intelligence for Wildfire Management is an advanced, connected platform designed for fire professionals, enabling them to detect threats, verify fires, and share critical information with response teams faster than ever before.

SeismicAI is a provider of innovative Earthquake Early Warning Systems (EEW) ensuring earthquake preparedness. SeismicAI's algorithms utilise local sensors to issue high-precision alerts for earthquake preparedness. The system covers the full early warning cycle - from monitoring and reporting, through alerts, to optionally triggering automated preventive actions.

The AIFS is the first fully operational weather prediction open model using machine learning technology for weather forecasting.

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.

Online tool for estimating the carbon emissions generated by AI model usage.

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency of ML, artificial intelligence (AI) and other emerging technologies use in supply chain management.

This standard specifies a framework for adding artificial intelligence (AI) functions to support the energy management agent (EMA) specified in ISO/IEC for EMAs located on customer premises.

This Recommendation establishes the concept of artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs).

Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence (AI).

This Supplement aims to investigate appropriate models to evaluate urban energy efficiency with a special focus on the emerging adoption of AI and big data.

Panel to develop good practice in the use of new technologies like AI in the planning of the major infrastructure that are critical for the delivery of national goals such as net zero, resilience and nature recovery.

AI Risk Assessment Tool for responsible, transparent and safe AI covering international compliance regulations and data / model evaluations

Casebase is a software for AI management along the entire life cycle.

Advice for government, regulators and developers on how to minimize environmental impacts across the full life cycle of large language models.

In undertaking this voluntary commitment, developers and managers of advanced generative systems commit to working to achieve outcomes related to the OECD AI principles.

The AIRC supports all AI actors in the development and deployment of trustworthy and responsible AI technologies. AIRC supports and operationalizes the NIST AI Risk Management Framework (AI RMF 1.0) and accompanying Playbook and will grow with enhancements to enable an interactive, role-based experience providing access to a wide-range of relevant AI resources.

The goal of the AI RMF is to offer a resource to the organizations designing, developing, deploying, or using AI systems to help manage the many risks of AI and promote trustworthy and responsible development and use of AI systems.

FAIRLY provides an AI governance platform focussed on accelerating the broad use of fair and responsible AI by helping organisations bring safer AI models to market.

The Trustworthy and Ethical Assurance platform is an open-source tool and framework to support the process of developing and communicating trustworthy and ethical assurance cases for data-driven technologies.