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

Meet Our Responsible AI Experts

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

Alfie Cameron

Transitional Assistant Professor of Computer Science - AI and Human Computer Interactions

UNRAIC Capabilities

Areas of Expertise

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

Expert Advice

Secure your future with leading consultancy from world class AI researchers

an abstract photo of a curved building with a blue sky in the background

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