Description of Activities
My fellowship supports the development of a standardized framework for trustworthy, AI-native digital infrastructure by moving away from centralized, opaque architectures toward decentralized, composable, and transparent platforms. It addresses key challenges in current digital ecosystems, such as fragmentation, centralization, and lack of trust, with priorities including the development of AI-native composable infrastructure that embeds transparency, privacy, and accountability; the advancement of standards for federated AI, digital twin interoperability, and decentralized identity; and the resolution of gaps in trustworthy execution and governance to reduce Europe’s dependency on non-European platforms. The fellowship further seeks to enable federated, decentralized AI, ensure data sovereignty, and align composable infrastructure with European values of privacy, fairness, and transparency. These standardisation efforts are very significant in facilitating the timely adoption of emerging technologies with a global, interoperable standard for future AI infrastructure.
Country
United Kingdom of Great Britain and Northern Ireland (the)
Impact on SMEs (9th Open Call)
By enabling open, interoperable, and composable infrastructure, the project supports SME participation, fosters innovation, and drives human-centric, privacy-compliant digital services for European society. Its outcomes will empower key sectors such as smart cities, manufacturing, energy, and healthcare to deploy AI-powered, decentralized services with built-in trust and autonomy, accelerating the development of data-driven business models and open marketplaces that deliver user-centric and adaptive digital experiences. Moreover, the project strengthens European leadership in ethical and human-centric AI by providing a blueprint for technical standards that embed transparency, privacy, fairness, and sustainability by design.
Impact on society (9th Open Call)
The accelerating integration of Artificial Intelligence (AI) into all layers of our digital society is transforming how services, data, and infrastructure operate. However, as AI systems become more pervasive, there is a growing need to ensure that the underlying infrastructure is not only intelligent, but also trustworthy, interoperable, secure, and aligned with human-centric values. This activity directly addresses that need by proposing a reference architecture and standardisation framework for trustworthy AI-native infrastructure, enabling both "AI for infrastructure" and "infrastructure for AI".
Organization
Liverpool John Moores University
Proposal Title (9th Open Call)
Trustworthy AI infrastructure – Towards AI for infrastructure and Infrastructure for AI
Standards Development Organisation
