The rapid advancement of Artificial Intelligence (AI), particularly with large language models and generative AI, has largely prioritised system performance.
However, AI is increasingly used for autonomous operations, enabling machines to perform tasks without human intervention. This brings ethical, legal, social, fairness, safety and explainability challenges.
The success of AI is no longer a matter of accuracy, technical performance or financial profit but how it connects with human beings.
Design for responsibilty
The development of AI requires a socio-technical approach to the design, deployment and use of AI systems, interweaving software solutions with governance, ethics, and regulation.
Our research focuses on the responsible development of AI, enhancing explainability, safety, and fairness in artificial intelligence systems.
Addressing these challenges is essential to ensure that AI systems are not only powerful but also trustworthy and aligned with societal values.
Impact through collaboration
We drive impactful applications across healthcare, the circular economy, net zero and sustainability, defence, law, and beyond through cross-disciplinary collaboration and knowledge transfer.
Through this research, we are examining human-level explainability using Neurosymbolic and statistical approaches. We are also looking at safe and trustworthy AI systems for cloud and edge computing environments and cross-disciplinary research on ethics and fairness to help theory-driven AI development.
Embedding our research
We work with businesses of different sizes and geographical reach to embed our research into real-life applications and practice. We create social and economic impact via funded projects (EPSRC, Innovate UK, European Union), and knowledge transfer activities including Knowledge Transfer Partnerships.
Our research group specialises in Neurosymbolic AI, Explainability techniques, Safe AI, Safe Federated Learning, Safe LLMs, Conversational AI, Decision support systems, applications in healthcare, sustainability, law and defence and digital twins.
Our research team
Research themes
Projects
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Twitter/X: @resaihull