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.

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.

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.

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.

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

This program provides organisations with a comprehensive, independent review of their AI approaches, ensuring alignment with consensus standards and enhancing trust among stakeholders and the public in their AI practices.

The AI Risk Ontology (AIRO) is an open-source formal ontology that provides a minimal set of concepts and relations for modelling AI use cases and their associated risks. AIRO has been developed according to the requirements of the EU AI Act and international standards, including ISO/IEC 23894 on AI risk management and ISO 31000 family of standards.

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

Vectice is a regulatory MLOps platform for AI/ML developers and validators that streamlines documentation, governance, and collaborative reviewing of AI/ML models. Designed to enhance audit readiness and ensure regulatory compliance, Vectice automates model documentation, from development to validation. With features like automated lineage tracking and documentation co-pilot, Vectice empowers AI/ML developers and validators to work in their favorite environment while focusing on impactful work, accelerating productivity, and reducing risk.

Trustworthy AI Procurement CardTM is a non-exhaustive list of information which can accompany acquisition decisions. The Card is similar to the DataSheets or Model Cards, in the sense that the objective is to promote transparency and better due diligence during AI procurement process.

The deck of 50 Trustworthy AI Cards™ correspond to 50 most relevant concepts under the 5 categories of: Data, AI, Generative AI, Governance, and Society. The Cards are used to create awareness and literacy on opportunities and risks about AI, and how to govern these technologies.

Resaro offers independent, third-party assurance of mission-critical AI systems. It promotes responsible, safe and robust AI adoption for enterprises, through technical advisory and evaluation of AI systems against emerging regulatory requirements.

Warden AI provides independent, tech-led AI bias auditing, designed for both HR Tech platforms and enterprises deploying AI solutions in HR. As the adoption of AI in recruitment and HR processes grows, concerns around fairness have intensified. With the advent of regulations such as NYC Local Law 144 and the EU AI Act, organisations are under increasing pressure to demonstrate compliance and fairness.

Community jury is concept where multiple stakeholders impacted by a same technology are given the possibility to learn about a project, discuss with one another and provide feedback.

Evaluate input-output safeguards for LLM systems such as jailbreak and hallucination detectors, to understand how good they are and on which type of inputs they fail.

Responsible AI (RAI) Repairing Assistant

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.

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.