UNRAIC: The University of Nottingham Responsible AI Consultancy Hub


We are a multidisciplinary team of academics and practitioners from the University of Nottingham’s School of Computer Science, working at the forefront of AI ethics, governance, and deployment. Our expertise spans computer science, law, business, and social sciences, enabling us to offer holistic and actionable insights.
Who we are






























Jeremie Clos
Elvira Perez Vallejos
Armaghan Moemeni
Christian Wagner
Assistant Professor in Computer Science-Natural Language Processing
Professor of Digital Technology for Mental Health
Assistant Professor in Computer Vision and AI for Medical Image Analysis
Professor of Computer Science
Robert Laramee
George Ogoh
Joel Fischer
Daniel Karapetyan
Professor of Data Visualization & Visual Analytics
Senior Research Fellow in Responsible AI Governance
Professor of Human-Computer Interaction
Assistant Professor in Computer Science - Algorithm Engineering
Shreyank Narayana Gowda
Gisela Reyes-Cruz
Stacy Hsueh
Jamie Twycross
Assistant Professor in Computer Science - Efficient AI and Computer Vision
Transitional Assistant Professor in Computer Science - Human Computer Interaction
Assistant Professor in Computer Science - Creative and Accessible AI
Associate Professor in Computer Science - Machine Learning and Artificial Intelligence
Andy French
Bernd Stahl
Paschal Ochang
Damian Eke
Professor of Computer Science - AI and Biological Image analysis
Professor of Critical Research in Technology
Responsible Innovation in Autonomous systems Research Fellow
Assistant Professor in Ethics, Governance of Data, AI and Neurotechnology
Mike Pound
Mohammed Adamu
Associate Professor in Computer Vision & Machine Learning
Research Fellow in Trustworthy AI Systems
UNRAIC Capabilities
Drawing on deep academic leadership from the University of Nottingham, our consultancy spans technical foundational models, ethical governance frameworks, and practical human-centered sector integration.
Technical / Foundational AI
Responsible AI, Ethics & Governance
Human-AI Interaction & Applied Expertise
Optimizing human-in-the-loop workflows, organizational trust, user experience, and specialized domain integration across commercial, healthcare, and public sector operations.
Rigorous evaluation of machine learning architectures, data infrastructure, model verification, and technical auditing to guarantee robust and resilient computational foundations.
Translating Responsible Research and Innovation (RRI) principles into actionable corporate compliance, risk assessment frameworks, ethical oversight, and regulatory alignment.
Key Expert Focus:
Alfie Cameron (Human Factors),Joel Fischer (HAI), Gisela Reyes-Cruz (HCI / HRI / HAI), Armaghan Moemeni (AI for healthcare, computer vision), Stacy Hsueh (creative AI, accessibility), Robert Laramee (data visualisation, XAI), Elvira Perez Vallejos (digital mental health), Andy French (biological image analysis, plant phenotyping). .
Key Expert Focus:
Paschal Ochang (Algorithmic Robustness, AI Governance Security and Readiness, Systems Audit) Jeremie Clos (NLP, LLMs, agentic AI), Daniel Karapetyan (algorithms, symbolic AI, LLMs), Jamie Twycross (ML, data analytics, software engineering), Shreyank Narayana Gowda (efficient and sustainable AI), Christian Wagner (uncertainty), Andy French (AI development at the interface of disciplines).
Key Expert Focus:
Bernd Stahl (Responsible Innovation, AI Ethics) Damian Eke (Governance, AI Ethics & Regulatory Readiness), Elvira Perez Vallejos (RRI, AI ethics), George Ogoh (responsible innovation, HUDERIA), Joel Fischer (assurance, sociotechnical methods), Christian Wagner (IEEE ECPAIS), Stacy Hsueh (bias, responsible AI), Gisela Reyes-Cruz (responsible AI, accessibility), Shreyank Narayana Gowda (security of AI).
Our Mission
Our mission is to empower organisations to embrace responsible AI by driving innovation and market competitiveness, enabling safe and de-risked adoption, fostering trust among customers, regulators and investors, enhancing decision-making, and supporting sustainable growth and ROI


Drawing on the University of Nottingham’s extensive intellectual capital, our consultants transform cutting-edge AI research into practical, high-impact strategies for enterprises and public institutions
Rigorous Evidence Base Consulting
You have supported us by creating a hybrid/phased spiral curriculum and we now have direction.The impacts from working with yourselves have a far reach, it has demystified the digital landscape and as a result we have been able to develop an understanding of AI/Automation
Deere Apprenticeships
Outstanding and exceptional service, and overall an excellent collaborative experience. Our expectations certainly were exceeded. We now have a health AI platform with technical, legal and organisational risks addressed with a comprehensive AI ecosystem case study report
Myitura Health








