What are the 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.

Beginning in May 2024 and running for between 12 to 18 months, 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 ...

Co-designing responsible technology and policy for the impact of generative AI on the writing and publishing of the novel

  • Led by Ms 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 Dr 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.
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 and 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 Alan Turing Institute
This fellowship will tackle the training needs for responsible AI adoption within the cultural heritage sector. Partnering with The Alan Turing Institute, 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 ...

Regulatory guidelines informing the societal and ethical factors shaping medical AI adoption

  • 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 Dr 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 ...


(Header Image credit: Orbon Alija via Getty Images)

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