What are we doing?
We aim to construct a cutting edge research agenda driven by state-of-the-art academic insights and real industry challenges.
|Law & Regulation|
|Natural Language Processing & Speech/Voice|
|Value(s) & Ethics|
|Sustainability & Inequality|
|Work & Labour|
Click here for an overview of what was discussed.
Photo by ThisisEngineering RAEng
Can AI and data-driven innovation further public service priorities and values in journalism and media? If so how?
Do core PSM values misalign to values that inform the development of AI systems?
Is it productive to mobilise and/or re-imagine public service values?
Can such ‘public service AI’ contribute to value creation in the UK and beyond? How might this be fostered?
What barriers are there to applying responsible and trustworthy AI in PSM (e.g. cost, capacity, trust)?
What kinds of systems might be used by PSM?
What role might Natural Language Processing play in PSM – what prototypes might be developed and tested to demonstrate new forms of public value?
What is the current context?
What are the key challenges?
What is most important and why?
What areas of research are needed or overlooked?
What expertise is needed to understand and tackle these issues?
Who are the key stakeholders? Partners/collaborators?
Which combination of research questions, approaches, and collaborations should make the cut for a funding bid?
What tools, methods, and partnerships are needed?
Our project links to three of the University of Edinburgh’s priority research themes. We connect with:
This work was funded by the Scottish Funding Council, via the Bayes Centre at the University of Edinburgh as part of the Data-Driven Innovation initiative and the Edinburgh Futures Institute (EFI).