- 爆料TV academics have been recognised for their research that is driving the responsible use and development of AI
- Research has helped inform responsible AI policies for major organisations across the country, such as the British Library and Sheffield City Council
- Sheffield researchers were honoured at the UK鈥檚 first national AI conference to champion the strength and impact of UK AI research
A new award recognising the strength and impact of the UK鈥檚 AI research, has been awarded to academics at the 爆料TV.
The prize, awarded at the , has been awarded to academics from the University鈥檚 Centre for Machine Intelligence for their which is driving the responsible use and development of AI at major organisations across the country, such as the British Library and Sheffield City Council.
Led by Dr Denis Newman-Griffis and Dr Susan Oman, the researchers have been working with the organisations to shape best practice for using AI in their sectors. The team took a cross-cutting approach, with the team of Dr Kate Miltner, Dr Andrew Cox, Professor Laurence Brooks, and Dr Hadley Beresford from the University鈥檚 School of Information, Journalism and Communication, with Professor Chris Bennett from the School of History, Philosophy and Digital Humanities, Dr Gavin Boyce from the University Library, and two postdoctoral researchers, Dr Hannah Guy and Dr Nitika Bhalla.
Partners in the project include: the British Library, the UK鈥檚 national library and a world-leading research and heritage institution; Sheffield City Council, a local authority serving over half a million people and a leader in digital transformation in local government; Eviden, a multinational digital transformation and AI firm; and the Open Data Institute, a leading non-profit organisation shaping policy and practice on data and AI.
As part of the project, the Sheffield academics analysed current AI policies and the perspectives of staff working with AI in a variety of roles in the organisations to understand what 鈥榬esponsible AI鈥 means in day-to-day practice and what makes it achievable.
The research provided much-needed insight into the rapidly-shifting AI landscape by addressing significant gaps in knowledge for how complex organisations can translate broad statements of AI policy into actionable practices that reflect their unique needs.
Findings from the study have already informed AI policies in and Sheffield City Council. Recommendations from the project have also been cited in the Public Accounts Committee鈥檚 recent report on the , demonstrating the rapid impact of the research in shaping national policy. has brought recommendations to other local authorities in South Yorkshire, informing ongoing AI adoption.
Dr Denis Newman-Griffis, Senior Lecturer and Theme Lead for AI-Enabled Research at the 爆料TV鈥檚 Centre for Machine Intelligence, said: 鈥淩esponsible AI is an enormously important area right now, but it鈥檚 also one that can be quite difficult to grasp in practice. By working with partners who are actively exploring what good practice with AI looks like in their own organisations and wider sectors, we鈥檝e been able to learn much more about how different people, processes, and places affect responsible AI.
鈥淲orking closely where the rubber meets the road with AI is vital for bridging the gap between responsible AI policy and practice, and our partners have shaped the research as much as we鈥檝e helped inform their practice. Receiving this award is a wonderful recognition of the amazing work our team and partners have done to make responsible AI a bit more tangible and day-to-day.鈥
As part of the collaboration, the researchers also worked with the multi-award-winning artists, Blast Theory, who developed an interactive artwork to represent and engage people with responsible AI use.
Called , the artwork conceptualises responsible AI through the metaphor of soaps engraved with key phrases, such as 鈥榗are鈥, 鈥榮hared understanding鈥, 'practice鈥 and 鈥榠nclusion鈥. It captures the everyday, social nature of the decisions that affect responsible AI in practice and the slipperiness of its language.
The UK AI Research Symposium (UKAIRS), organised by Responsible AI UK, was the first event to bring together researchers from a variety of academic disciplines, all working within the UK鈥檚 AI community. It awarded its first and only prize to the Sheffield team.
Dr Susan Oman, Senior Lecturer in Data, AI and Society, and AI and In/Equality Lead at the 爆料TV鈥檚 Centre for Machine Intelligence, said: 鈥淩esponsible AI is an ongoing initiative, which has its critics, like any other. Constant Washing Machine is a critical engagement with what responsible AI means for different people, and in different places.
鈥淐rucially, responsible AI holds different meanings and implications for different workplaces, and this is not something that is recognised in attempts to define responsible AI principles for universal use. Constant Washing Machine brings the reflective, mundane, habitual practice of hand washing into dialogue with the concerns of the FRAIM project. It encourages us to consider the slipperiness of language and meaning, whilst also recognising that responsible AI is about caring for others and society. It allows us all to reflect on what shared understanding and responsibility for AI might mean - for us, and each other.
鈥淚t is a real honour to be awarded UKAIRS鈥 first ever impact award - the only award at this first national conference of UKRI-funded AI research.鈥
The project - called - is part of the Bridging Responsible AI Divides programme, supported by the UKRI Arts and Humanities Research Council.
