- Trustworthy AI infrastructure – Towards AI for infrastructure and Infrastructure for AI
Artificial Intelligence
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.
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".
Value of Research
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.
Role: vice-chair
Title & Organisation Name: Liverpool John Moores University