AI for intelligence, investigation and public protection

Responsible AI is not about chasing perfection, but about doing better. It is about learning from missteps, listening to diverse voices, and committing to a process of continuous improvement.





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Responsible Ai UK

Responsible Ai UK (RAi UK) is an international ecosystem for responsible AI research and innovation. RAi UK brings together researchers to understand how we should shape the development of AI to benefit people, communities and society.




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Centre for Responsible AI

The Northumbria Centre for Responsible AI brings together the University’s multidisciplinary expertise in citizen-centred AI to focus on how AI should be used in education, government, industry, and wider society. We promote and develop an understanding of AI’s strengths and limitations, how it can be used effectively and responsibly and how it could be harmful or misleading. Our focus is on the application of AI in real contexts. The Centre aims to ensure that technology serves everyone, with no one left behind.



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CCAI: Citizen-Centred Artificial Intelligence

Read about Northumbria University’s UKRI AI Centre for Doctoral Training (CDT) in Citizen-Centred Artificial Intelligence (CCAI) which brings citizens to the heart of AI’s design and development.





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Mapping the Probabilistic AI Ecosystem in Criminal Justice in England and Wales

Excited to share our new paper on arXiv! Probabilistic AI systems are increasingly being introduced into policing and the wider criminal justice system worldwide—often in fragmented ways. Our research proposes a systematic mapping methodology to understand this ecosystem in England and Wales.


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Government consultation on a new legal framework for law enforcement use of biometrics, facial recognition and similar technologies

Response from Marion Oswald, Carole McCartney, Kyriakos N. Kotsoglou, Alexandra R. Taylor, Muffy Calder, Jennifer Ekene Dunkwu, Mackenzie Jorgensen, Evdoxia Taka, Temitope Lawal, Claire Paterson-Young, Katherine Jones, Adrian Weller, Kyle Montague


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PROBabLE Futures

PROBabLE Futures (Probabilistic AI Systems in Law Enforcement Futures) is a four-year, £3.4M RAi funded Keystone Project led by Northumbria University with Glasgow, Northampton, Leicester, Newcastle and Cambridge Universities.

Our project, working alongside our law enforcement, third sector and commercial partners, is developing a framework to understand the implications of uncertainty and to build confidence in future Probabilistic AI in law enforcement, with the interests of justice and responsibility at its heart. Activities include mapping the AI ecosystem in law enforcement, including the use of large language models; developing guidance, checklist and frameworks to guide assessment of scientific and legal validity, and mock trials with AI outputs as evidence.

PROBabLE Futures is supported by the Engineering and Physical Sciences Research Council [Grant Number EP/Y009800/1 AI KP0003] through funding from Responsible AI UK

PROBabLE Futures hosts workshop on ‘AI in Law Enforcement: Lessons from the Past and Priorities for the Future’

Dr Angela Paul and Dr Temitope Lawal

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Ethical Governance, Responsible Innovation and Human Flourishing

By Dr Jennifer Ekene Dunkwu

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AI, the Evolution and Responses to Crime

Dr. Temitope Lawal and  Katherine Jones

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Principal Investigator

northumbria

Co-Investigators

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