ESRC Digital Good Network

Past event

Public Voices in AI: launch event 

Watch the recording of this webinar, which took place on Thursday 6 June 2024, 1:00pm – 2:30pm (BST):

Public Voices in AI is a new project which aims to ensure that public voices are front and centre in artificial intelligence research, development, use and policy.

At this online launch event, you got a first look at how Public Voices in AI will bring public perspectives to the forefront of AI research, development, use and policy in the UK. Plus, there was information about the Public Voices in AI Fund, including how to apply.

A central aspect of responsible AI research, use, development and policy is ensuring that it takes account of public hopes, concerns and experiences. Yet public voice is frequently missing from conversations about AI, an absence which inhibits progress in responsible AI. Addressing this gap is essential to ensure that AI is responsibly used, considers both harms and benefits, and works for everyone.

Different groups benefit from and are affected by AI differently, and their hopes, concerns and experiences also vary. Because of structural inequities, some groups are more negatively impacted by AI uses than others. Public Voices in AI therefore centres those most impacted and underrepresented. One way Public Voices in AI will do this is by distributing up to £195,000 of its funding to support participatory projects led by and with negatively affected or underrepresented groups.

The Public Voices in AI Fund launched on 31 May 2024, with a closing date for applications of 20 June 2024.

More details will be published on our website and in our newsletter (which you can sign up to here).

About this project: 

Public Voices in AI has received £850,000 in funding from RAI UK. It is a collaboration between the Digital Good Network at the University of Sheffield, the Ada Lovelace Institute, the Alan Turing Institute, Elgon Social Research and University College London.

It will carry out research and produce and disseminate resources, with and in consultation with a range of beneficiaries, including groups most affected / underrepresented in AI research, development and policy.