A legally enforceable AI-user interaction framework that verifies informed consent through multimodal methods, protects user intellectual property via blockchain-based tracking, and ensures lifetime authorship rights with legal safeguards against unauthorized use or AI training reuse.

mobile Detection, Research, Education, Equipment, Training programme provides a mobile hearing loss detection test for children who are entering schooling (as well as for other life stages) and an AI-enabled application that turns a smartphone into a personalised hearing aid

UNICEF’s Accessible Digital Textbooks for All initiative aims to make textbooks accessible for students with disabilities by following Universal Design for Learning (UDL) guidelines and offering flexible delivery formats.

Efficacy of a Computer-Based Learning Program in Children With Developmental Dyscalculia. What Influences Individual Responsiveness?

Software that helps educational providers identify handwriting issues and students (aged 5-12) improve their handwriting

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 Early Literacy Interventions Tool uses ChatGPT to answer questions and design learning plans

BeSpecial is an AI-driven platform designed to support university students with dyslexia by providing personalized digital tools and tailored learning strategies. Developed within the European VRAILEXIA project, BeSpecial combines clinical data, self-assessments, and psychometric tests to recommend customized resources like audiobooks and concept maps, as well as inclusive academic practices. The platform also raises awareness and trains educators to foster inclusive higher education environments.

Dytective by Change Dyslexia is an innovative AI-powered tool designed to detect the risk of dyslexia in children quickly and reliably. Developed in collaboration with researchers, Dytective combines language exercises with machine learning to screen for dyslexia in just 15 minutes. Backed by scientific validation and used by schools and families worldwide, it empowers early intervention and promotes equal opportunities in education.

CAST is an open framework for responsible AI design and engineering. It offers design heuristics and patterns, and RAI recommendations through generative features and online content.

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 Code sets out a process to identify, evaluate, and mitigate the known risks of AI to children and prepare for the known unknowns. It requires those who build and deploy AI systems to consider the foreseeable risks to children by design and default.

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.

PetaBencana.id leverages AI to provide residents, government agencies, and first responders with a real-time disaster mapping platform for Indonesia.

ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally accessible, living knowledge base of adversary tactics and techniques against Al-enabled systems based on real-world attack observations and realistic demonstrations from Al red teams and security groups.

Risk Atlas Nexus provides tooling to connect fragmented AI governance resources through a community-driven approach to curation of linkages between risks, datasets, benchmarks, and mitigations. It transforms abstract risk definitions into actionable AI governance workflows.