Public Voices in AI outputs

The Public Voices in AI project sought to put public perspectives at the centre of AI research, development, and policymaking. The outputs from the project are listed below, and there is more information on the RAi UK page.

Outputs

A framework and self assessment workbook for including public voices in AI, by Reema Patel, of Elgon Social Research

Citation: Patel, R. (2025) A Framework and Self Assessment Workbook for Including Public Voices in AI. Elgon Social Research and ESRC Digital Good Network. Available at: https://elgon.social/framework-and-workbook

Resources for including the public in AI, by Mhairi Aitken, Sabeehah Mahomed and Smera Jayadeva:

A repository sharing details of recent projects that have engaged the public with AI development, policy or research, citation: Mahomed, S., Jayadeva, S., Aitken, M., Thomas, C. A., & Hadjiloizou, S. (2025). Public Voices in AI: Repository of Use Cases Report. The Alan Turing Institute.

A set of introductory slides that can be used or adapted to support public conversations about AI, citation: Aitken, M., Mahomed, S. & Jayadeva, S. 2025, Introductory Resources for Public Conversations about AI, The Alan Turing Institute

A process guide to support organisers of future public engagement activities, citation: Jayadeva, S., Mahomed, S. & Aitken, M., 2025, Public Voices in AI Process Guide: A practical guide to key considerations in the lifecycle of public voice projects, The Alan Turing Institute

Survey of public attitudes to AI report, by Roshni Modhvadia (Ada Lovelace Institute), Tvesha Sippy (Alan Turing Institute), Octavia Field Reid (Ada Lovelace Institute), and Helen Margetts (Alan Turing Institute).

Citation: Modhvadia, R., Sippy, T., Field Reid, O., Margetts, H. (2025) How do people feel about AI? Wave 2 of a nationally representative survey of UK attitudes to AI designed through a lens of equity and inclusion. Ada Lovelace Institute and The Alan Turing Institute. Available at: https://attitudestoai.uk/

AI and the public good, a report by Eleanor O’Keeffe, Octavia Field Reid, Roshni Modhvadia and Helena Hollis.

Citation: O’Keefe, E., Field Reid, O., Modhvadia, R., Hollis, H. (2025) Making good: Insights on AI and public good from diverse UK communities. Ada Lovelace Institute. Available at: https://www.adalovelaceinstitute.org/report/ai-public-good/

A report on a survey of AI researchers, by O’Donovan, C., Gurakan, S., Wu, X., Stilgoe, J., Bert, N., Dmitrichenko, E., Gjørva, E., Liu, S., Zamborsky, T., & Zhao, T.

Citation: O’Donovan, C., Gurakan, S., Wu, X., Stilgoe, J., Bert, N., Dmitrichenko, E., Gjørva, E., Liu, S., Zamborsky, T., & Zhao, T. (2025) Visions, values, voices: a survey of artificial intelligence researchers. Centre for Responsible Innovation. Available at: https://zenodo.org/records/15118399

A report and a webtoon based on a review of existing evidence about public attitudes to and inclusion in AI

Citation for the report: Susan Oman and Sara Cannizzaro (2025) People’s feelings about AI: what the evidence tells us. The University of Sheffield. Available: https://digitalgood.net/dg-outputs/peoples-feelings-about-ai/

Citation for the webtoon: Kitty McEwan and Susan Oman (2025) Let’s Talk About AI. Webtoon. The University of Sheffield Available: https://digitalgood.net/dg-outputs/talk-ai-webtoon/

Susan Oman wrote an article reflecting on the Paris AI Action Summit in February 2025, saying the process of reviewing evidence can demonstrate the value of public voices to AI assurance and push for inclusive AI Action.

Outputs from Public Voices in AI Fund projects

With the Public Voices in AI Fund, we distributed funding to projects which seek to ensure that uses of AI are informed by the voices of communities underrepresented in or negatively impacted by AI. The funded projects produced the following outputs:

Platform Worker Voice in a Data-Driven City, by The Workers’ Observatory, produced a video about the project, which can also be accessed via their website. They also published a guidebook that sets out what workers did, and steps for others to do something similar.

Knowing AI Knowing You / AIKONIC, by The People Speak, produced videos of creative outputs by their two participant groups – available here:

And a booklet summarising their methods.

AI Under Watch: scrutinising the asylum system by those most affected, by Migrants’ Rights Network, produced a report about what they did, which can be accessed from their project webpage (with translations in Arabic, Pashto, Farsi and Dari) or as a PDF.

DATABASED: The impact of racist ‘gang’ profiling and surveillance on young people in London, by UNJUST CIC, produced a report of their work. More information about Erase the Database can be found on their website.

More information about the projects, led by The Workers’ Observatory, Migrants’ Rights Network, UNJUST CIC and The People Speak CIC, can be found here.

Webinar series

You can also watch the recordings of our webinar series about the project.

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