Fellowships

BRAID fellowships

The fellowships support individual researchers to work in partnership with public, private and third sector organisations to address current challenges in the field of responsible AI.

By working on common challenges across sectors and with a range of stakeholders, the programme aims to support leadership in the field of responsible AI, create lasting connections, and directly impact how AI is considered, developed and deployed in research, in practice, and in society at large.

Our current active projects are listed below.

Explainable Generative AI in the BBC

Led by Prof Nick Bryan-Kinns, University of the Arts London
Partnered with BBC

This fellowship aims to develop explainable AI approaches for creative practice within the BBC and beyond ...

AI art beyond the gallery: exploring the capacity of cultural institutions to impact tech policy

Led by Prof Mercedes Bunz, King’s College London
Partnered with: Serpentine Galleries

This fellowship investigates how a cultural institution's invested in AI art can shape public policy. The fellow will study the commissioning of AI exhibitions and engage with policymakers to translate this knowledge into impactful policy recommendations ...

The impact of GenAI on the writing and publishing of the novel

Led by Dr Clementine Collett, University of Cambridge
Partnered with Institute for the Future of Work

This fellowship aims to develop policy recommendations surrounding generative AI and its impact on novel writing and publishing. Key issues such as IP, competition, and remuneration will be explored. This research uses participatory and co-design methods, collaborating with novelists, publishers, writers societies, policymakers, and tech companies ...

Enhancing Responsible AI Literacy at BBC and beyond

Led by Dr Bahareh Heravi, University of Surrey,
Partnered with BBC

This fellowship seeks to enhance responsible AI adoption in the newsroom, and promoting cross-team and interdisciplinary communication and coordination within the BBC and beyond. The outcomes are anticipated to be significant for a broad spectrum of journalists and journalism students, both within the UK and internationally ...

Anticipating Today: Co-creating techno-moral tools for responsible AI governance

Led by Assoc Prof Federica Lucivero, University of Oxford
Partnered with Ada Lovelace Institute

This fellowship will develop and pilot tools to support policymakers to anticipate the broader societal implications of emerging AI technologies. Created in collaboration with the Ada Lovelace Institute and the Nuffield Council on Bioethics, through a co-design approach, these tools will foster policymakers’ “moral imagination” and exploratory thinking around future AI technologies ...

CREA-TEC: Cultivating Responsible Engagement with AI Technology to Empower Creatives

Led by Dr Caterina Moruzzi, University of Edinburgh
Partnered with Adobe Inc.

Project website: crea-tec.weebly.com This fellowship examines key aspects of the creative process to support artists' needs in an ethical way when using AI. The project includes a study with creatives, an exhibition for public awareness, and actionable guidelines for the development of generative AI technologies ...

Developing a Responsible AI Innovation Framework for the subsidised arts and culture sector, with Arts Council England

Led by Dr Oonagh Murphy, Goldsmiths, University of London
Partnered with Arts Council England

This fellowship collaborates with the Arts Council England to create a Responsible AI Innovation Framework for the arts and culture sector. The goal is to embed responsible AI practices into strategies and policies ...

Machining Sonic Identities

Led by Dr Martin Parker, University of Edinburgh
Partnered with Datamind Audio Ltd.

This fellowship explores the challenges and opportunities surrounding digital sonic identity. I examine how AI tools can be used in the creation and development of sound, ask questions of provenance and ownership in sonic identity, and create new works in collaboration with a museum, a contemporary music ensemble and a youth project ...

Human-Centred AI for the Equitable Smart Energy Grid

Led by Dr Kyrill Potapov, University College London
Partnered with Microsoft Research

This fellowship explores how AI tools can improve the distribution and use of green energy. The project will investigate both individual consumption tracking and communal resource sharing ...

Inclusive Futures: Radical Ethics and Transformative Justice for Responsible AI

Led by Dr Sanjay Sharma, University of Warwick
Partnered with Diverse AI

This fellowship challenges mainstream AI development by amplifying the voices of marginalized communities. It promotes an understanding of AI's complexities from alternative perspectives by identifying values and future visions aligned with anti-oppression, grounded ethics and societal responsibility. Drawing from abolitionist cultural politics and creative practices, it aims to develop an inclusive 'responsible AI' framework ...

Responsible data, models & workflows: Responsible AI digital skills provision for the cultural heritage community

Led by Dr Anna-Maria Sichani, School of Advanced Study, University of London
Partnered with The National Archives

This fellowship will tackle the training needs for responsible AI adoption within the cultural heritage sector. Partnering with The National Archives, the fellow will help develop and embed a comprehensive digital skills training provision for responsible AI for the cultural heritage community to empower informed, responsible and ethical use of AI ...

Centering Creativity and Responsibility for AI Tools for Artists, Creatives and Makers

Led by Caroline Sinders, University Arts London
Partnered with Mozilla Foundation

This fellowship explores what artists want, in respect to AI tools, AI software and Art. The goal is to survey artists, creatives and makers and develop a prototype that fits their needs ...

Muted registers: A feminist intersectional (re)figuring of red-teaming

Led by Dr Alex Taylor, University of Edinburgh
Partnered with Microsoft Research

This fellowship seeks to understand the practice of red-teaming to produce actionable insights for policy and governance. The focus is on collaboration, dissemination of tools, and broad public engagement ...

Writing the Wrongs of AI : LLMs, copyright and creativity in the age of Generative AI

Led by Dr Pip Thornton, University of Edinburgh
Partnered with Edinburgh International Book Festival

This fellowship partners with the Edinburgh International Book Festival to explore the role of human authors in the AI age. The focus is on raising awareness and skills about responsible AI within the publishing industry ...

Medical AI and Sociotechnical Harm

Led by Dr Beverley Townsend, University of York
Partnered with Microsoft Research

This fellowship investigates how AI-powered medical devices can better meet the needs of diverse populations and impact regulation. The project will use an NHS AI triage tool as a case study.
...

Responsible AI for Heritage: copyright and human rights perspectives

Led by Dr Paula Westenberger, Brunel University London
Partnered with Royal Botanic Gardens Kew

This fellowship delves into how intellectual property law, particularly copyright, can responsibly advance the use of AI in heritage research. The project promises a wide range of outcomes, including reports, a network, workshops, and publications ...

Responsible AI in International Public Service Media

Led by Prof Kate Wright, University of Edinburgh
Partnered with Public Media Alliance

This fellowship investigates opportunities for responsible AI within international public service media. The goal is to explore how AI can help build trustworthy news delivery ...

Ofsted Evaluation Project

Led by Auste Simkute, University of Edinburgh
Partnered with Ofsted (Office for Standards in Education, Children’s Services and Skills)

This fellowship brings external expertise and scrutiny to evaluate how using AI tools during inspection affects productivity, skills and decision-making. The purpose of the fellowship is to assist Ofsted with AI trials for inspection ...

The effect of regulating AI on business and consumer adoption

Led by Dr Natalie Leesakul, University of Nottingham
Partnered with Department for Science, Innovation and Technology (DSIT) – AI Policy Directorate (AIPD)

The Fellowship will be working with, and alongside, policymakers and analysts to shape the Government’s response to AI. The central topic that Fellows will be working on is on understanding the effect of regulating AI on business and consumer adoption ...

Fostering economic growth across the UK through digital innovation in DCMS sectors

Led by Dr Sophie Frost, University for the Creative Arts
Partnered with Department for Digital, Culture, Media and Sport (DCMS)

This Fellowship works on fostering economic growth across the UK through digital innovation in DCMS Sectors ...

AI, Intellectual Property (IP) and the Creative Industries

Led by Dr Richard Osborne, University of Glasgow
Partnered with Department for Digital, Culture, Media and Sport (DCMS)

The Fellow working with DCMS will conduct research on topics such as:

AI and the creative and media industries: exploring the scope and scale of risks and opportunities generative AI poses for the creative industries, and the arguments for government intervention.
Generative AI, IP, and the Creative and Media Industries: conducting literature reviews and live monitoring of international approaches ...

Government’s approach to AI safety

Led by Prof Jack Stilgoe, University College London
Partnered with Department for Science, Innovation and Technology (DSIT) – AI Safety Institute (AISI)

The Fellowship will be working with and alongside policymakers and AI researchers/engineers to shape the Government’s approach to AI safety ...

How AI impacts on public trust about information

Led by Dr Pieter Verdegem, University of Westminster
Partnered with Office of Communications (Ofcom)

The fellowship conducts research on topics such as:

An assessment of the actual vs perceived current use of AI within the media industries, and the extent to which its use is being questioned, modified, rejected by the workforces within these industries, and for what reasons.
What kinds of media literacy/critical understanding are needed to navigate AI-generated information, including news content.
What is the ...