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20112021
most citedA framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions

18 citations · 71 across the 16 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.SD20212 cited

Using DeepProbLog to perform Complex Event Processing on an Audio Stream

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor +6

In this paper, we present an approach to Complex Event Processing (CEP) that is based on DeepProbLog. This approach has the following objectives: (i) allowing the use of subsymboli…

cs.CL2021

Deriving Disinformation Insights from Geolocalized Twitter Callouts

David Tuxworth, Dimosthenis Antypas, Luis Espinosa-Anke +3

This paper demonstrates a two-stage method for deriving insights from social media data relating to disinformation by applying a combination of geospatial classification and embedd…

cs.LG2021

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)…

cs.CY20212 cited

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…

cs.AI202118 cited

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…