2025
Pfefferkorn, Jasmin; Hood, Beverley
Computational intimacies, from prompting to prose Book Chapter
In: Vanessa Bartlett, Jasmin Pfefferkorn; Sunde, Emilie K. (Ed.): Open Humanities Press, Decentring Ethics: AI Art as Method, 2025.
@inbook{nokey,
title = {Computational intimacies, from prompting to prose},
author = {Jasmin Pfefferkorn and Beverley Hood},
editor = {Vanessa Bartlett, Jasmin Pfefferkorn and Emilie K. Sunde},
url = {https://www.openhumanitiespress.org/books/titles/decentring-ethics/},
year = {2025},
date = {2025-09-24},
urldate = {2025-09-24},
publisher = {Open Humanities Press},
edition = {Decentring Ethics: AI Art as Method},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Townsend, BA; Hodge, VJ; Richardson, H; Calinescu, R; Arvind, TT
Cautious optimism: public voices on medical AI and sociotechnical harm Journal Article
In: Frontiers in Digital Health, vol. 7, 2025.
@article{nokey,
title = {Cautious optimism: public voices on medical AI and sociotechnical harm},
author = {BA Townsend and VJ Hodge and H Richardson and R Calinescu and TT Arvind},
url = {https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1625747/full},
year = {2025},
date = {2025-09-23},
urldate = {2025-09-23},
journal = {Frontiers in Digital Health},
volume = {7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Westenberger, Paula; Farmaki, Despoina
Artificial intelligence for cultural heritage research: the challenges in UK copyright law and policy Journal Article
In: European Journal of Cultural Management and Policy, vol. 15, 2025.
@article{nokey,
title = {Artificial intelligence for cultural heritage research: the challenges in UK copyright law and policy},
author = {Paula Westenberger and Despoina Farmaki},
url = {https://www.frontierspartnerships.org/journals/european-journal-of-cultural-management-and-policy/articles/10.3389/ejcmp.2025.14009/full},
doi = {https://doi.org/10.3389/ejcmp.2025.14009},
year = {2025},
date = {2025-09-09},
journal = {European Journal of Cultural Management and Policy},
volume = {15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Townsend, Beverley A
Multiculturalism and AI value alignment Journal Article
In: Oxford Intersections: AI in Society, 2025.
@article{,
title = {Multiculturalism and AI value alignment},
author = {Beverley A Townsend},
url = {https://academic.oup.com/edited-volume/59762/chapter-abstract/527143150?redirectedFrom=fulltext},
year = {2025},
date = {2025-07-25},
urldate = {2025-07-25},
journal = {Oxford Intersections: AI in Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wright, Kate; Porter, Kristian
PSM and AI (part 1): mapping how public service media use AI in Journalism Miscellaneous
2025.
@misc{nokey,
title = {PSM and AI (part 1): mapping how public service media use AI in Journalism},
author = {Kate Wright and Kristian Porter},
url = {https://www.publicmediaalliance.org/wp-content/uploads/2025/08/PSM-and-AI_PMA-Industry-Report.pdf},
year = {2025},
date = {2025-07-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Harrell, Alexis; Neubacher, Christian; Gidda, Navneet; Collett, Clementine
How is Generative AI reshaping the future of the novel? Summary of the 'Forum on GenAI and the novel' Miscellaneous
2025.
@misc{nokey,
title = {How is Generative AI reshaping the future of the novel? Summary of the 'Forum on GenAI and the novel'},
author = {Alexis Harrell and Christian Neubacher and Navneet Gidda and Clementine Collett},
url = {https://www.mctd.ac.uk/wp-content/uploads/2025/09/GenAI-and-the-Novel-Forum_Summary.pdf},
year = {2025},
date = {2025-06-27},
urldate = {2025-06-27},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Murphy, O; NewTechnologiesInnovationTeam,
Responsible AI in practice: The journey of Arts Council England Technical Report
2025.
@techreport{nokey,
title = {Responsible AI in practice: The journey of Arts Council England},
author = {O Murphy and NewTechnologiesInnovationTeam},
url = {https://www.artscouncil.org.uk/research-and-data/responsible-ai-arts-council-england},
year = {2025},
date = {2025-06-25},
urldate = {2025-06-25},
abstract = {In May 2024, Arts Council England’s Executive Board approved three research and development projects to explore how to respond to the growing impact of AI on the Arts Council and the wider creative and cultural sector. These projects focused on:
How the Arts Council can use AI responsibly internally.
How it can help the creative and culture sector understand and manage the opportunities and challenges of AI.
How it can contribute to shaping national AI policy in the UK.
This report focuses on the first project: how the Arts Council is using AI responsibly in its internal work. We’re sharing our approach to be transparent (a key part of our new AI Policy).
The report explains how the Arts Council has:
Set up a governance structure to oversee the use of AI
Created an internal AI policy to guide staff in using AI tools
Monitored software licences to understand how staff are using AI
Published a public statement about how AI is used in the grant-making process
Launched pilot programmes to test how AI can be used in ways specific to the organisation },
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
In May 2024, Arts Council England’s Executive Board approved three research and development projects to explore how to respond to the growing impact of AI on the Arts Council and the wider creative and cultural sector. These projects focused on:
How the Arts Council can use AI responsibly internally.
How it can help the creative and culture sector understand and manage the opportunities and challenges of AI.
How it can contribute to shaping national AI policy in the UK.
This report focuses on the first project: how the Arts Council is using AI responsibly in its internal work. We’re sharing our approach to be transparent (a key part of our new AI Policy).
The report explains how the Arts Council has:
Set up a governance structure to oversee the use of AI
Created an internal AI policy to guide staff in using AI tools
Monitored software licences to understand how staff are using AI
Published a public statement about how AI is used in the grant-making process
Launched pilot programmes to test how AI can be used in ways specific to the organisation
How the Arts Council can use AI responsibly internally.
How it can help the creative and culture sector understand and manage the opportunities and challenges of AI.
How it can contribute to shaping national AI policy in the UK.
This report focuses on the first project: how the Arts Council is using AI responsibly in its internal work. We’re sharing our approach to be transparent (a key part of our new AI Policy).
The report explains how the Arts Council has:
Set up a governance structure to oversee the use of AI
Created an internal AI policy to guide staff in using AI tools
Monitored software licences to understand how staff are using AI
Published a public statement about how AI is used in the grant-making process
Launched pilot programmes to test how AI can be used in ways specific to the organisation
ArtsCouncilEngland, (Ed.)
Responsible AI practical toolkit (Arts Council England) Miscellaneous
2025.
@misc{nokey,
title = {Responsible AI practical toolkit (Arts Council England)},
editor = {ArtsCouncilEngland},
url = {https://www.artscouncil.org.uk/lets-create/strategy-2020-2030/investment-principles/investment-principles-resource-hub/dynamism-resource-hub/responsible-ai-practical-toolkit},
year = {2025},
date = {2025-06-25},
urldate = {2025-06-25},
abstract = {These resources were created over a twelve-month research and development period at Arts Council England. They offer a framework to help creative and cultural organisations that want to create their own Responsible AI policies and practices.
As explained in their report ‘Responsible AI in Practice: The Journey of Arts Council England’, there is no single “one-size-fits-all” AI policy. In fact, developing an AI policy is more about people than technology. It should reflect the organisation’s values, how much risk they're willing to take, and the sector they work in.
Arts Council England created seven guides to help people take a thoughtful and collaborative approach to building AI policies and practices that match their organisation’s purpose.
Relates to BRAID Fellowship https://braiduk.org/developing-a-responsible-ai-innovation-framework-for-the-subsidised-arts-and-culture-sector-with-arts-council-england},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
These resources were created over a twelve-month research and development period at Arts Council England. They offer a framework to help creative and cultural organisations that want to create their own Responsible AI policies and practices.
As explained in their report ‘Responsible AI in Practice: The Journey of Arts Council England’, there is no single “one-size-fits-all” AI policy. In fact, developing an AI policy is more about people than technology. It should reflect the organisation’s values, how much risk they're willing to take, and the sector they work in.
Arts Council England created seven guides to help people take a thoughtful and collaborative approach to building AI policies and practices that match their organisation’s purpose.
Relates to BRAID Fellowship https://braiduk.org/developing-a-responsible-ai-innovation-framework-for-the-subsidised-arts-and-culture-sector-with-arts-council-england
As explained in their report ‘Responsible AI in Practice: The Journey of Arts Council England’, there is no single “one-size-fits-all” AI policy. In fact, developing an AI policy is more about people than technology. It should reflect the organisation’s values, how much risk they're willing to take, and the sector they work in.
Arts Council England created seven guides to help people take a thoughtful and collaborative approach to building AI policies and practices that match their organisation’s purpose.
Relates to BRAID Fellowship https://braiduk.org/developing-a-responsible-ai-innovation-framework-for-the-subsidised-arts-and-culture-sector-with-arts-council-england
Tollon, Fabio; Vallor, Shannon
The Responsible AI Ecosystem: A BRAID Landscape Study Miscellaneous
2025.
@misc{nokey,
title = {The Responsible AI Ecosystem: A BRAID Landscape Study},
author = {Fabio Tollon and Shannon Vallor},
url = {https://zenodo.org/records/15195686},
year = {2025},
date = {2025-06-18},
urldate = {2025-06-18},
abstract = {This report, the first in a two-part study of the Responsible AI landscape by the UKRI’s BRAID programme, provides a chronological and conceptual map of the Responsible AI (R-AI) ecosystem. We chart the role of various actors and communities in this ecosystem’s emergence, especially the vital contributions from the arts and humanities, and the historical development and contestation of different meanings of ‘responsibility’ in the context of AI.
In the Preface, we outline the motivation and aims of the study. In Section One, we outline the different meanings and conceptions of ‘Responsible AI’ commonly deployed by different stakeholders. We follow in Section Two with a chronological account of how ‘responsibility’ for the impact of new technologies in computing came to be articulated, culminating in what today we call the Responsible AI ecosystem. We trace this history from the 1950s to the present, concluding in Section Three with a review of seven lessons learned from these ‘first waves’ of Responsible AI research, practice, and advocacy; lessons that can be carried forward in our collective efforts to enable and sustain responsible AI innovation, now and for the future.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
This report, the first in a two-part study of the Responsible AI landscape by the UKRI’s BRAID programme, provides a chronological and conceptual map of the Responsible AI (R-AI) ecosystem. We chart the role of various actors and communities in this ecosystem’s emergence, especially the vital contributions from the arts and humanities, and the historical development and contestation of different meanings of ‘responsibility’ in the context of AI.
In the Preface, we outline the motivation and aims of the study. In Section One, we outline the different meanings and conceptions of ‘Responsible AI’ commonly deployed by different stakeholders. We follow in Section Two with a chronological account of how ‘responsibility’ for the impact of new technologies in computing came to be articulated, culminating in what today we call the Responsible AI ecosystem. We trace this history from the 1950s to the present, concluding in Section Three with a review of seven lessons learned from these ‘first waves’ of Responsible AI research, practice, and advocacy; lessons that can be carried forward in our collective efforts to enable and sustain responsible AI innovation, now and for the future.
In the Preface, we outline the motivation and aims of the study. In Section One, we outline the different meanings and conceptions of ‘Responsible AI’ commonly deployed by different stakeholders. We follow in Section Two with a chronological account of how ‘responsibility’ for the impact of new technologies in computing came to be articulated, culminating in what today we call the Responsible AI ecosystem. We trace this history from the 1950s to the present, concluding in Section Three with a review of seven lessons learned from these ‘first waves’ of Responsible AI research, practice, and advocacy; lessons that can be carried forward in our collective efforts to enable and sustain responsible AI innovation, now and for the future.
Miltner, Kate; Moruzzi, Caterina; Parker, Martin; Potapov, Kyrill; Sichani, Anna-Maria; Westenberger, Paula
2025.
@misc{Miltner2025,
title = {BRAID researchers' response to the call for contributions on artificial intelligence and creativity issued by the UN Special Rapporteur in the field of cultural rights, Alexandra Xanthaki.},
author = {Miltner, Kate and Moruzzi, Caterina and Parker, Martin and Potapov, Kyrill and Sichani, Anna-Maria and Westenberger, Paula},
doi = {10.5281/zenodo.15442454},
year = {2025},
date = {2025-05-05},
urldate = {2025-05-05},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Bálint Gyevnár, Atoosa Kasirzadeh
AI safety for everyone Journal Article
In: 2025.
@article{Kasirzadeh2025,
title = {AI safety for everyone},
author = {Bálint Gyevnár, Atoosa Kasirzadeh },
url = {https://www.nature.com/articles/s42256-025-01020-y?trk=feed_main-feed-card_reshare_feed-article-content},
doi = {https://doi.org/10.1038/s42256-025-01020-y},
year = {2025},
date = {2025-04-17},
urldate = {2025-04-17},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Modhvadia, Roshni; Sippy, Tvesha; Reid, Octavia Field; Margetts, Helen
How do people feel about AI? (Ada Lovelace Institute and The Alan Turing Institute, 2025) Miscellaneous
2025.
@misc{nokey,
title = {How do people feel about AI? (Ada Lovelace Institute and The Alan Turing Institute, 2025)},
author = {Roshni Modhvadia and Tvesha Sippy and Octavia Field Reid and Helen Margetts},
url = {https://attitudestoai.uk/},
year = {2025},
date = {2025-03-25},
urldate = {2025-03-25},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
O’Keefe, Eleanor
Making good: : Insights on AI and public good from diverse UK communities (Ada Lovelace Institute, 2025) Miscellaneous
2025.
@misc{nokey,
title = {Making good: : Insights on AI and public good from diverse UK communities (Ada Lovelace Institute, 2025) },
author = {Eleanor O’Keefe},
url = {https://www.adalovelaceinstitute.org/report/ai-public-good/},
year = {2025},
date = {2025-03-25},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Jones, B; Jones, R; Luger, E
Power Asymmetries in Public Service Journalism: Artificial Intelligence and the Intelligibility-Agency Problem Book Chapter
In: Alessandro D’Arma,; Michalis, Maria; Lowe, Gregory Ferrel; Zita, Michael-Bernhard (Ed.): Chapter 7, Challenges and Developments in Public Service Journalism, University of Westminster Press, 2025.
@inbook{nokey,
title = {Power Asymmetries in Public Service Journalism: Artificial Intelligence and the Intelligibility-Agency Problem},
author = {B Jones and R Jones and E Luger},
editor = {Alessandro D’Arma and Maria Michalis and Gregory Ferrel Lowe and Michael-Bernhard Zita},
url = {https://doi.org/10.16997/14610450},
doi = {https://doi.org/10.16997/14610450},
year = {2025},
date = {2025-02-27},
urldate = {2025-02-27},
publisher = {Challenges and Developments in Public Service Journalism, University of Westminster Press},
chapter = {7},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Sichani, Anna-Maria; Westenberger, Paula; Bryan-Kinns, Nick; Bunz, Mercedes; Collett, Clementine; Baravi, Bahareh; Miltner, Kate; Morruzzi, Caterina; Townsend, Beverley Alice
BRAID researchers' response to UK Government copyright and AI consultation Miscellaneous
2025.
@misc{nokey,
title = {BRAID researchers' response to UK Government copyright and AI consultation},
author = {Anna-Maria Sichani and Paula Westenberger and Nick Bryan-Kinns and Mercedes Bunz and Clementine Collett and Bahareh Baravi and Kate Miltner and Caterina Morruzzi and Beverley Alice Townsend},
doi = {10.5281/zenodo.14945987},
year = {2025},
date = {2025-02-26},
urldate = {2025-02-26},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Ada Lovelace Institute, & BRAID
Copyright and AI consultation: response from BRAID and Ada Lovelace Institute Miscellaneous
2025.
@misc{Institute2025,
title = {Copyright and AI consultation: response from BRAID and Ada Lovelace Institute},
author = {Ada Lovelace Institute, & BRAID},
doi = {10.5281/zenodo.14938056},
year = {2025},
date = {2025-02-25},
urldate = {2025-02-25},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Wagg, David J; Burr, Christopher; Shepherd, Jason; Conti, Zack Xuereb; Enzer, Mark; Niederer, Steven
The philosophical foundations of digital twinning Journal Article
In: Data-Centric Engineering, vol. 6, 2025.
@article{nokey,
title = {The philosophical foundations of digital twinning},
author = {David J Wagg and Christopher Burr and Jason Shepherd and Zack Xuereb Conti and Mark Enzer and Steven Niederer},
doi = {https://doi.org/10.1017/dce.2025.4},
year = {2025},
date = {2025-02-10},
urldate = {2025-02-10},
journal = {Data-Centric Engineering},
volume = {6},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jones, Bronwyn; Strait, Andrew; Parnell, Brid-Aine; Horzyk, Amanda Maria; Perez, Jorge
Journalism and generative AI: data, deals and disruption in the news media Workshop
2025.
@workshop{nokey,
title = {Journalism and generative AI: data, deals and disruption in the news media},
author = {Bronwyn Jones and Andrew Strait and Brid-Aine Parnell and Amanda Maria Horzyk and Jorge Perez},
url = {https://zenodo.org/records/14968195},
doi = {10.5281/zenodo.14968195},
year = {2025},
date = {2025-02-03},
urldate = {2025-02-03},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
Jones, Bronwyn; Jones, Rhianne
Action research at the BBC: Interrogating artificial intelligence with journalists to generate actionable insights for the newsroom Journal Article
In: 2025.
@article{nokey,
title = {Action research at the BBC: Interrogating artificial intelligence with journalists to generate actionable insights for the newsroom},
author = {Bronwyn Jones and Rhianne Jones},
doi = {https://doi.org/10.1177/14648849251317150},
year = {2025},
date = {2025-01-29},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bennett, S J; Catanzariti, Benedetta; Tollon, Fabio
“Everybody knows what a pothole is”: representations of work and intelligence in AI practice and governance Journal Article
In: AI & Society, 2025.
@article{nokey,
title = {“Everybody knows what a pothole is”: representations of work and intelligence in AI practice and governance},
author = {S J Bennett and Benedetta Catanzariti and Fabio Tollon },
url = {https://link.springer.com/article/10.1007/s00146-024-02162-0#Abs1},
doi = {https://doi.org/10.1007/s00146-024-02162-0},
year = {2025},
date = {2025-01-27},
journal = {AI & Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Glover, Jonny; Hood, Beverley
BRAID AI and the Arts: Who's Responsible (Curatorial event) - Visual Minutes Miscellaneous
2025.
@misc{nokey,
title = {BRAID AI and the Arts: Who's Responsible (Curatorial event) - Visual Minutes},
author = {Jonny Glover and Beverley Hood},
doi = {https://doi.org/10.5281/zenodo.14710565},
year = {2025},
date = {2025-01-21},
urldate = {2024-01-19},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Hood, Beverley
BRAID AI and the Arts: Who's Responsible (Artists' event) – Consensus Statement Miscellaneous
2025.
@misc{nokey,
title = {BRAID AI and the Arts: Who's Responsible (Artists' event) – Consensus Statement},
author = {Beverley Hood},
doi = {https://doi.org/10.5281/zenodo.14711008},
year = {2025},
date = {2025-01-21},
urldate = {2024-01-18},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Glover, Jonny; Hood, Beverley
BRAID AI and the Arts: Who's Responsible (Artists' event) - Visual Minutes Miscellaneous
2025.
@misc{nokey,
title = {BRAID AI and the Arts: Who's Responsible (Artists' event) - Visual Minutes},
author = {Jonny Glover and Beverley Hood},
doi = {https://doi.org/10.5281/zenodo.14710975},
year = {2025},
date = {2025-01-21},
urldate = {2024-01-18},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Hood, Beverley
BRAID AI and the Arts: Who's Responsible (Curatorial event) – Consensus Statement Miscellaneous
2025.
@misc{nokey,
title = {BRAID AI and the Arts: Who's Responsible (Curatorial event) – Consensus Statement},
author = {Beverley Hood},
doi = {https://doi.org/10.5281/zenodo.14710921},
year = {2025},
date = {2025-01-21},
urldate = {2024-01-19},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Ruszev, S; Rogers, L; Gurgun, S; Stockton-Brown, M; Gee, M; Davis, T; Yang, X; Griffiths, C; Zhang, K; Cheng, B; Slaymaker, J; Prajitna, S
Shared-posthuman imagination: Human-AI collaboration in media creation Technical Report
2025.
@techreport{nokey,
title = {Shared-posthuman imagination: Human-AI collaboration in media creation},
author = {S Ruszev and L Rogers and S Gurgun and M Stockton-Brown and M Gee and T Davis and X Yang and C Griffiths and K Zhang and B Cheng and J Slaymaker and S Prajitna},
url = {https://eprints.bournemouth.ac.uk/40681/},
doi = {10.18746/epxn-da67},
year = {2025},
date = {2025-01-17},
urldate = {2025-01-17},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
