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Alun Preece

Cardiff University

Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials


May 13, 2021
Iain Barclay, Alun Preece, Ian Taylor, Swapna K. Radha, Jarek Nabrzyski

* This is the submitted, pre-peer reviewed version of this paper 

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A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions


Mar 05, 2021
Iain Barclay, Harrison Taylor, Alun Preece, Ian Taylor, Dinesh Verma, Geeth de Mel

* This is the pre-peer reviewed version of the following article: Barclay I, Taylor H, Preece A, Taylor I, Verma D, de Mel G. A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurrency Computat Pract Exper. 2020;e6129. arXiv admin note: substantial text overlap with arXiv:1907.03483 

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AAAI FSS-20: Artificial Intelligence in Government and Public Sector Proceedings


Nov 09, 2020
Frank Stein, Alun Preece

* Pre-symposium proceedings including 12 pre-submitted papers 

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An Experimentation Platform for Explainable Coalition Situational Understanding


Nov 09, 2020
Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun Preece, Tianwei Xing, Luis Garcia, Mani Srivastava, Dave Braines

* Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA 

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Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports


Oct 29, 2020
Aleksandra Edwards, David Rogers, Jose Camacho-Collados, Hélène de Ribaupierre, Alun Preece

* 10 pages, 5 figures, workshop 

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A Hybrid Neuro-Symbolic Approach for Complex Event Processing


Sep 18, 2020
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti

* Accepted as extended abstract at ICLP2020 

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A Hybrid Neuro-Symbolic Approach for Complex EventProcessing


Sep 07, 2020
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti

* Accepted as extended abstract at ICLP2020 

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Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models


Mar 31, 2020
Liam Hiley, Alun Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett


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The current state of automated argumentation theory: a literature review


Mar 30, 2020
Sam Vente, Angelika Kimmig, Alun Preece, Federico Cerutti

* pre-print 

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Increasing negotiation performance at the edge of the network


Mar 30, 2020
Sam Vente, Angelika Kimmig, Alun Preece, Federico Cerutti

* Accepted for presentation at The 7th International Conference on Agreement Technologies (AT 2020) 

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Sanity Checks for Saliency Metrics


Nov 29, 2019
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun Preece

* Accepted for publication at the Thirty Fourth AAAI conference on Artificial Intelligence (AAAI-20) 

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AAAI FSS-19: Artificial Intelligence in Government and Public Sector Proceedings


Nov 28, 2019
Frank Stein, Alun Preece

* Post-symposium proceedings including 18 papers 

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Explainable AI for Intelligence Augmentation in Multi-Domain Operations


Oct 16, 2019
Alun Preece, Dave Braines, Federico Cerutti, Tien Pham

* Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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BMVC 2019: Workshop on Interpretable and Explainable Machine Vision


Sep 16, 2019
Alun Preece


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Explainable Deep Learning for Video Recognition Tasks: A Framework & Recommendations


Sep 07, 2019
Liam Hiley, Alun Preece, Yulia Hicks


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Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition


Aug 14, 2019
Liam Hiley, Alun Preece, Yulia Hicks, David Marshall, Harrison Taylor

* 5 pages, 2 figures, published at IJCAI19 ExAI workshop 

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Quantifying Transparency of Machine Learning Systems through Analysis of Contributions


Jul 08, 2019
Iain Barclay, Alun Preece, Ian Taylor, Dinesh Verma


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Deep Q-Learning for Directed Acyclic Graph Generation


Jun 05, 2019
Laura D'Arcy, Padraig Corcoran, Alun Preece

* Accepted to Learning and Reasoning with Graph-Structured Representations, ICML 2019 Workshop 

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Hows and Whys of Artificial Intelligence for Public Sector Decisions: Explanation and Evaluation


Oct 19, 2018
Alun Preece, Rob Ashelford, Harry Armstrong, Dave Braines

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA; corrected typos in this version 

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AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings


Oct 14, 2018
Frank Stein, Alun Preece, Mihai Boicu


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Stakeholders in Explainable AI


Sep 29, 2018
Alun Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Defining the Collective Intelligence Supply Chain


Sep 25, 2018
Iain Barclay, Alun Preece, Ian Taylor

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Uncertainty Aware AI ML: Why and How


Sep 20, 2018
Lance Kaplan, Federico Cerutti, Murat Sensoy, Alun Preece, Paul Sullivan

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems


Jun 20, 2018
Richard Tomsett, Dave Braines, Dan Harborne, Alun Preece, Supriyo Chakraborty

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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Rule-Based Semantic Sensing


Jul 11, 2011
Przemyslaw Woznowski, Alun Preece

* Proceedings of the Doctoral Consortium and Poster Session of the 5th International Symposium on Rules (RuleML [email protected]), pages 9-16 (arXiv:1107.1686) 

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Proceedings of the Doctoral Consortium and Poster Session of the 5th International Symposium on Rules (RuleML [email protected])


Jul 08, 2011
Carlos Viegas Damásio, Alun Preece, Umberto Straccia

* HTML file with clickable links to papers 

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