Responsible AI UK is a research and innovation programme focused on addressing the most pressing challenges for the UK and the global community. We draw from our multi-disciplinary research programme to deliver novel frameworks, tools, and policy advice for the development and deployment of safe and responsible AI so that it benefits everyone in society.
RAi UK brings together researchers from across the four nations of the UK to understand how we should shape the development of AI to benefit people, communities and society.
It is an open, multidisciplinary network, drawing on a wide range of academic disciplines. This stems from our conviction that developing responsible AI will require…
Science, Innovation and Technology Conducting research and innovation using Responsible Innovation (RI) involves collaboration with stakeholders; anticipatory governance; the consideration of impacts on people and the environment; reflection; and response. The inclusion of RI principles is therefore central to ‘responsible’ artificial intelligence, but RI training and interdisciplinary practices need to be developed if they…
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Governance, Regulation and Policy This project will develop the theoretical foundations of ‘equality-by-design, deliberation and oversight’ (EbD) approaches to AI governance, striving to embed that knowledge into AI-standards by (1) representing European equality defenders in European AI standard-setting by CEN/CENELEC (2) empowering and equipping public equality defenders and other social stakeholders with the knowledge…
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Science, Innovation and Technology Building on insights developed across several ethical AI projects, notably the EU-funded projects SHERPA, and SIENNA, this work provides actionable guidance to small and medium-sized enterprises (SMEs) on how generative AI systems can be developed and used responsibly. By working with our SME partner Trilateral Research, (using the ‘with SMEs,…
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Cultural and Creative Industries Speech is the richest, most precious form of human communication. But speech-based interactive systems are currently available for only a small fraction of the world’s languages. Consequently, hundreds of millions of people are being excluded globally. For the past three years we have worked with under-served “low-resource” language communities to…
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Health and Wellbeing Project AEGIS is a collaborative research initiative. Its high-level goal is to define a truly global ethical standard for AI systems that emulate empathy. These systems involve the ability of AI systems to detect, model, and respond to human emotional, intentional and other psychological states in ways that mimic empathic behaviour,…
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Education Can responsible Generative AI (GenAI) lead to improved student outcomes? SAGE-RAI investigated this critical question through a partnership between The Open University's Knowledge Media Institute (KMi) and the Open Data Institute (ODI), developing and evaluating an AI Digital Assistant to enhance personalised learning at scale. Motivated by Bloom's 1984 study…
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Defence and Security The challenge for Law Enforcement Agencies (LEAs) is balancing the significant opportunities AI presents for the safeguarding of society with the societal concerns and expectation about its responsible use. Accountability is at the core of UK Government efforts to ensure responsible AI use. Accountability, however, is highly abstract. AIPAS addresses…
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Science, Innovation and Technology For democratic elections to be trusted they must be free and fair. To ensure this, democracies across the world establish regulators and management bodies to oversee electoral activity. However, we know that these bodies often operate on a limited budget with limited personnel. They have also been slow to adapt…
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Health and Wellbeing The integration of AI-based tools into routine clinical care is opening the door to a completely new paradigm where doctors and AI systems collaborate to decide a right diagnosis or treatment for a patient, based on individual’s biomedical information. Several important ethical challenges rise from the development of clinical AI…
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Governance, Regulation and Policy The United Kingdom and European Union are creating new regulations for AI transparency; drafting and implementing laws that will require bodies to communicate when they are using AI, and how they are using it. However, the exact meaning of ‘AI transparency’ is contestable, so implementing these rules requires interpretation. Our…
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Health and Wellbeing In today’s dynamic landscape, AI applications across critical sectors face continual disruptions, spanning from environmental shifts to human errors and adversities. To effectively navigate these challenges, AI solutions must demonstrate adaptability and responsibility, aligning with the diverse social, legal, ethical, empathetic, and cultural norms of stakeholders (SLEEC). The DOMINOS international…
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Governance, Regulation and Policy Safety-critical systems that use artificial intelligence (AI)can pose a variety of challenges and opportunities. This class of AI systems especially come with the risk of real consequential harms. With a cross-border approach spanning the UK, US, and Australia, our team aims to thoroughly investigate AI safety risks for technologies within…
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Education The project focuses attention on a population that is vast on a global scale, yet is often left behind: namely, online learners in Sub-Saharan Africa (SSA). The FATES of Africa International Partnership set out to develop a ‘how-to’ pipeline for protecting and championing responsible AI among SSA online learners: from…
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Science, Innovation and Technology This international partnership aims to strengthen the existing ties between TAS Hub (UK) and Good Systems (USA). These are two renowned leaders in Responsible and Trustworthy AI and Autonomous Systems, both aligned with the mission and objectives of RAi UK. The partnership will involve a series of innovative and ambitious…
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Health and Wellbeing The world is grappling with an escalating mental health crisis. Emerging technologies like Artificial Intelligence (AI), and in particular Natural Language Processing (NLP) are presented as promising tools to solve these challenges by tackling online abuse and bullying, suicide ideation detection and other behavioural online harms. This international partnership project…
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Transport In recent years, robots deployed in public settings like autonomous delivery bots and shuttles have been operating services in towns and cities worldwide. Yet there is little systematic understanding regarding how these technologies influence the daily lives of residents who coexist with them. This project aims to bridge various disciplines…
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Cultural and Creative Industries This project aimed to establish an international community dedicated to address Responsible AI challenges, specifically addressing bias in AI music generation and analysis. The prevalent dependence on large training datasets in deep learning often results in AI models biased towards Western classical and pop music, marginalising other genres. The project…
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Governance, Regulation and Policy This project aims to establish a global network to advocate for the responsible use of Artificial Intelligence in Latin America. This network will explore and share best practices and experiences in designing safeguard measures and regulations for the responsible use of AI in governments and industries in developing countries. A…
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Science, Innovation and Technology Through a combination of broad landscape mapping and focused examples, this project sought to gain insights into how the uptake of responsible AI can be in incentivised through structures, business models and regulatory frameworks, and to better understand how responsible AI can drive productivity and ensure the technologies are deployed…
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Science, Innovation and Technology A central aspect of responsible AI is ensuring that it takes account of public hopes, concerns and experiences. As concern about the societal impacts of AI grows and pressure for its effective regulation mounts, understanding and anticipating societal needs and values can inform responsible AI developments and deployments. Yet public…
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Education Recent advances in AI may catalyse a transformation in education. Current generative AI (GenAI) tools are powerful, yet brittle. They can act as useful learning companions, but they are unreliable, often biased and potentially misleading. There is an urgent need to develop critical AI literacy in learners, and to support…
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Education Refugees and asylum-seekers are disproportionately impacted by AI propagated misinformation/ disinformation. Young refugees and asylum-seekers (YRAS) are ideal actors to upskill in this area as they already take on the role of technology educators within their communities. The project will leverage YRAS as educators and equip them with knowledge, skills…
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Governance, Regulation and Policy How does image-based AI challenge existing approaches to the teaching of visual creativity? New digital tools such as Generative AI are easily adopted by young people through everyday media, but there is little or no formal guidance on how to use these technologies safely or responsibly. Our research aims to…
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Health and Wellbeing Dementia is stealing the lives of >55 million people worldwide, with huge societal cost (>$1 trillion p.a.). Despite >$56 billion R&D spend over 30 years, we lack sensitive diagnostics at early stages, when interventions may work best. We co-created—with healthcare partners, clinicians and the public—a responsible, multimodal AI tool (BrainHealthx,…
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Science, Innovation and Technology OPTIcut is an innovative computational intelligence system that revolutionises banana processing by optimising cutting strategies and reducing fruit waste. Developed through extensive collaboration with key stakeholders, including CORBANA, OPTIcut directly addresses inefficiencies inherent in traditional manual methods, resulting in waste reductions of 5-10% and substantial profitability gains. Independent field trials,…
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Governance, Regulation and Policy This project brings together a multidisciplinary team to co-produce research informed resources that will enhance knowledge and awareness of, and confidence in the use of GenAI for understanding legal processes and accessing legal information. By explaining GenAI, its application, implications, and ethical use in legal contexts, the project activities will…
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Education The team aim to enhance AI literacy and public awareness of responsible AI by developing two educational resources. The first is an A-to-Z picture book aimed at KS1 and KS2 children, introducing core AI concepts through engaging illustrations and age-appropriate text to foster early engagement. The second resource is a…
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Education Partnering with secondary school students, the team will explore the responsible use of Generative AI (GenAI) in their co-creation of open educational resources, articulating student voice and enacting student experience via fictitious characters and cartoons. The project outcomes will also recognise and empower school librarians as key agents in fostering…
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Defence and Security Probabilistic systems supported by AI, such as facial recognition, predictive tools, large language models (LLMs) and network analysis are being introduced at pace into law enforcement. Whilst these systems offer potential benefits, decision-making based on ‘Probabilistic AI’ has serious implications for individuals. The key problem for responsible AI is that the uncertain or probable nature…
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Governance, Regulation and Policy A significant barrier to reaping the benefits of AI is their unassessed potential for harms. Hence, AI auditing is imperative but it has been haphazard, unsystematic, and left solely in the hands of experts. Our project aims to fix this challenge through participatory AI auditing where diverse stakeholders without an…
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Science, Innovation and Technology Large Language Models (LLMs), like those used in ChatGPT and virtual assistants, are cutting-edge artificial intelligence algorithms trained on massive amounts of text data. They can generate human-like text as well as creative content, translate across languages, and answer questions in an informative way. However they have known technical limitations…
learn moreThis is a submission, on behalf of RAi UK and the Citizen-Centric AI Systems (CCAIS) project, in response to the Joint Committee on Human Rights’ inquiry on ‘Human Rights and the Regulation of Artificial Intelligence’ published in July 2025.
The submission addresses human rights issues, existing and possible changes to legal and regulatory frameworks.
Oral evidence, based on this response, was presented by Dr Sarah Kiden, to the Human Rights (Joint Committee) on 29 October 2025.
This is a submission in response to the Joint Committee on Human Rights’ inquiry on ‘Human Rights and the Regulation of Artificial Intelligence’ published in July 2025. The submission has been prepared by a team of academic researchers with extensive expertise in the ethical, legal, and technical implications of AI use, directly relating to human rights. Our work is anchored in the UKRI Responsible AI (RAi) UK Keystone Project, “PROBabLE Futures”.
We submitted this response to the Intellectual Property Office (IPO), the Department for Science, Innovation and Technology (DSIT) and the Department for Culture, Media and Sport (DCMS) joint consultation on Copyright and Artificial Intelligence on behalf of Responsible AI UK (RAi UK), an open and multidisciplinary network that brings together researchers from across the four nations of the UK to understand how we should shape the development of AI to benefit people, communities and society.
This is a submission in response to the European Commission’s Public Consultation on highrisk AI systems published on 6 June 2025. The submission has been prepared by a team of academic researchers with extensive expertise in the ethical, technical, legal, safeguarding, and operational applications of data analytics and AI within the criminal justice system. Our work is anchored in the UKRI Responsible AI (RAi) UK Keystone Project, “PROBabLE Futures”, a four-year research initiative focused on evaluating probabilistic AI systems across the criminal justice sector.
We submitted this response to the Department for Science, Innovation and Technology (DSIT) consultation on the new AI Management Essentials (AIME) tool on behalf of Responsible AI UK (RAi UK), an open and multidisciplinary network that brings together researchers from across the four nations of the UK to understand how we should shape the development of AI to benefit people, communities and society.
This is a submission in response to the Ministry of Justice’s Call for Evidence on the ‘Use of Evidence Generated by Software in Criminal Proceedings’ published on 21 January. The submission has been prepared by a team of academic researchers with extensive expertise in the ethical, legal, safeguarding, and operational applications of data analytics and AI within the criminal justice system. Our work is anchored in the UKRI Responsible AI (RAi) UK Keystone Project, “PROBabLE Futures”, a four-year research initiative focused on evaluating probabilistic AI systems across the criminal justice sector.
This submission, on behalf of RAi UK, was made in response to an NHS Consultation on integrated pathways.
This collaborative response was made on behalf of the RAi UK funded, TRAIS project, and was prepared by researchers based at King’s College London, UK and CeRAi associated researchers based at the following institutions in India.
Building a shared scientific understanding in a fast-moving field
It is the work of 100 international AI experts who collaborated in an unprecedented effort to establish an internationally shared scientific understanding of risks from advanced AI and methods for managing them.
Université de Montréal / Mila - Quebec AI Institute
This response to Sir Brian Leveson’s Independent Review of the Criminal Courts is submitted by a team of academic researchers with extensive expertise in the ethical, legal, safeguarding, and operational applications of data analytics and AI within the criminal justice system. Our work is anchored in the RAI Keystone Project, “PROBabLE Futures”, a four-year research initiative focused on evaluating probabilistic AI systems across the criminal justice sector. The project aims to develop a responsible, practical, and ‘operational-ready’ framework in collaboration with multiple criminal justice partners.
This response is submitted by academic researchers with extensive experience of theory and practice of real-world ethical, legal, safeguarding and operational approaches to data analytics and AI in criminal justice. Our RAI Keystone Project: “Probable Futures”, is a four-year research project reviewing Probabilistic AI systems across the criminal justice system to create a responsible and ‘operational-ready’ framework, working with multiple criminal justice partners.
Our response to UN’s consultation on Interim Report: Governing AI for Humanity. The report calls for a closer alignment between international norms and how AI is developed and rolled out.
This response is submitted by academic researchers with extensive experience of theory and practice of real-world ethical, legal, safeguarding and operational approaches to data analytics and AI in policing. Our RAI Keystone Project: “Probable Futures”, is a four-year research project reviewing Probabilistic AI systems across law enforcement to create a responsible and ‘operational-ready’ framework, working with the NPCC, police forces and multiple partners.
Response on behalf of ‘PROBabLE Futures: Probabilistic AI Systems in Law Enforcement Futures’Responsible AI UK Keystone Project and the Centre for Emerging Technology and Security, The Alan Turing Institute.
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