Empowering And Connecting The Responsible AI Ecosystem

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Upcoming Events

Upcoming Event

Tuesday, 28 Apr 2026

12:00 pm - 1:00 pm (GMT)

(Webinar) RAi Collaboration Grant Series: Responsible AI Skills

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Upcoming Event

Wednesday, 6 May 2026

11:00 am - 12:00 pm (GMT)

RAi Collaboration Grant Series: AI‑Driven Harms and Gender Pay Gap

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Upcoming Event

Thursday, 21 May 2026

3:00 pm - 4:00 pm (GMT)

(Webinar) RAi Collaboration Grant Series: Responsible AI in Public Services

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Upcoming Event

Monday, 8 Jun 2026

2:00 pm - 3:00 pm (GMT)

(Webinar) RAi UK Spotlight: Impact in Action

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Upcoming Event

Thursday, 18 Jun 2026

11:00 am - 12:00 pm (GMT)

(Webinar) RAi UK Spotlight: Strategy Update

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Upcoming Event

Monday, 22 Jun 2026

2:00 pm - 3:00 pm (GMT)

(Webinar) RAi UK Spotlight: Early Career Research Highlights

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Upcoming Event

Monday, 29 Jun 2026

11:00 am - 12:00 pm (GMT)

(Webinar) RAi UK Spotlight: Research Update

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Upcoming Event

Monday, 6 Jul 2026

11:00 am - 12:00 pm (GMT)

(Webinar) RAi Collaboration Grant Series: AI Governance, Assurance, and Responsible Deployment

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RAi Vision and Mission

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.

Our Mission

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…

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Projects

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Defence and Security

PROBabLE Futures: Probabilistic AI Systems in Law Enforcement Futures

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

PHAWM: Participatory Harm Auditing Workbenches and Methodologies

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

AdSoLve: Addressing Socio-technical Limitations of LLMs for Medical and Social Computing

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…

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Science, Innovation and Technology

Privacy-Preserving Governance and Ethical Assurance Framework for Decentralised Agentic AI in Pre-Litigation Analysis

This project explores how zero-knowledge proofs (ZKPs) can strengthen trust, fairness, and accountability in the use of Artificial Intelligence (AI) within judicial and pre-litigation settings. Working with universities, legal experts, and industry partners, we will examine how ZKPs can verify that AI systems behave fairly without exposing sensitive data or…

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Education

Gaming Ethics Across Borders: Exploring Responsible AI Through Play

This project uses a large, role-playing “megagame” to explore how people understand and trust AI. Building on a previous RAi UK project, researchers in the UK and Australia will run linked game workshops where participants must make decisions using AI-driven information. The team will analyse how players talk about fairness,…

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Education

Integrating Playful AI Literacy Learning Activities in Schools through Third-sector and Public-sector Organisations

In collaboration with third/public-sector actors, we will run public events engaging schoolchildren and their teachers in playful AI and Media learning activities we have co-designed for young people. The public events will enable us to explore the transferability of the activities to programmes third/public-sector organisations run to support schools. We…

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Latest Reports 02

& Blogs 29

Reports

ANNUAL REPORT 2024-25

As we reflect on 2024-25, we are immensely proud of the collective strides made in advancing responsible AI. This year has been defined by a concerted effort to translate our research vision into tangible, real-world impact, directly addressing the priorities and objectives we set out for each of our core pillars in the previous report.

Professor Sarvapali (Gopal) Ramchurn FIET

CEO, RAi UK

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Reports

ANNUAL REPORT 2023-24

Vision to Reality : Responsible AI UK

“The AI landscape is changing rapidly, with new challenges emerging in a range of sectors, within government, industry and for society. RAi UK aims to be the trusted voice that they turn to for advice on how to develop and integrate AI into their processes, products, and daily lives to ensureAI is responsibly deployed and governed.”

Professor Sarvapali (Gopal) Ramchurn FIET

Chief Executive Officer (CEO)

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Thursday, 11 December 2025

Are AI researchers concerned about the existential threat of AI?

Are AI researchers concerned about the existential threat of AI? Our survey suggests not Ananya Karanam, University College London Introduction:...
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Friday, 28 November 2025

RRI and EDI into practice at RAi UK All Hands Meeting

RRI and EDI into practice: Lessons from Experience As part of the RAi UK all hands meeting held in Manchester...
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Tuesday, 21 October 2025

Embedding inclusion in events on Responsible AI for Mental Health (RAI4MH)

Embedding inclusion in events on Responsible AI for Mental Health (RAI4MH) by Rafael Mestre (project lead), University of Southampton When...
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Monday, 29 September 2025

DOMINOS: Disruption Mitigation for ResponsibleAI

DOMINOS: Disruption Mitigation for Responsible AI by Radu Calinescu, project lead (University of York); Lina Marsso (University of Toronto’s Schwartz...
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Thursday, 31 July 2025

Connecting people with Ai in healthcare through ethical and inclusive conversations

Connecting people with AI in healthcare through ethical and inclusive conversations by Dr Raquel Iniesta (project lead), Kings College of...
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