18 citations · 54 across the 8 of their papers we have counts for
10 papers
Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems
Iain Barclay, Will Abramson
Artificial Intelligence (AI) systems are being deployed around the globe in critical fields such as healthcare and education. In some cases, expert practitioners in these domains a…
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials
Iain Barclay, Alun Preece, Ian Taylor +2
Adopting shared data resources requires scientists to place trust in the originators of the data. When shared data is later used in the development of artificial intelligence (AI)…
Tokenising behaviour change: optimising blockchain technology for sustainable transport interventions
Iain Barclay, Michael Cooper, Alun Preece +2
Transport makes an impact across SDGs, encompassing climate change, health, inequality and sustainability. It is also an area in which individuals are able to make decisions which…
A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions
Iain Barclay, Harrison Taylor, Alun Preece +3
Increased adoption of artificial intelligence (AI) systems into scientific workflows will result in an increasing technical debt as the distance between the data scientists and eng…
Towards a Modelling Framework for Self-Sovereign Identity Systems
Iain Barclay, Maria Freytsis, Sherri Bucher +3
Self-sovereign Identity promises to give users control of their own data, and has the potential to foster advancements in terms of personal data privacy. Self-sovereign concepts ca…
Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials
Iain Barclay, Swapna Radha, Alun Preece +2
In order to increase the value of scientific datasets and improve research outcomes, it is important that only trustworthy data is used. This paper presents mechanisms by which sci…