18 citations · 71 across the 8 of their papers we have counts for
9 papers
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…
Quantifying Transparency of Machine Learning Systems through Analysis of Contributions
Iain Barclay, Alun Preece, Ian Taylor +1
Increased adoption and deployment of machine learning (ML) models into business, healthcare and other organisational processes, will result in a growing disconnect between the engi…