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ORCIDSICSA XAI 2021: Aberdeen, Scotland, UK
- Kyle Martin, Nirmalie Wiratunga, Anjana Wijekoon:
Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, Aberdeen, United Kingdom, June 1st, 2021. CEUR Workshop Proceedings 2894, CEUR-WS.org 2021
Session 1: Applying and Evaluating Explanations
- Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar:
Counterfactual Explanations for Student Outcome Prediction with Moodle Footprints. 1-8 - James Forrest, Somayajulu Sripada, Wei Pang, George M. Coghill:
Are Contrastive Explanations Useful? 9-16 - Miruna Clinciu, Arash Eshghi, Helen Hastie:
I don't understand! Evaluation Methods for Natural Language Explanations. 17-24
Session 2: Roles within an XAI System and Accountability
- Chiu Pang Fung, Wei Pang, Iman Naja, Milan Markovic, Peter Edwards:
Towards Accountability Driven Development for Machine Learning Systems. 25-32 - Wei Pang, Milan Markovic, Iman Naja, Chiu Pang Fung, Peter Edwards:
On Evidence Capture for Accountable AI Systems. 33-39 - Agne Zainyte, Wei Pang:
Challenges and Future Directions for Accountable Machine Learning. 40-47 - Andrew M. Fagan, Graeme M. West, Stephen D. J. McArthur:
Human-in-the-Loop Approach to Digitisation of Engineering Drawings. 48-55
Session 3: Searching for Explanations
- Joan Espasa, Ian P. Gent, Ruth Hoffmann, Christopher Jefferson, Matthew J. McIlree, Alice M. Lynch:
Explaining Pen and Paper Puzzles with MUSes? 56-63 - Alexander E. I. Brownlee, Aidan Wallace, David E. Cairns:
Mining Markov Network Surrogates to Explain the Results of Metaheuristic Optimisation. 64-70
Session 4: Position Papers
- Rachana R. Patel:
Use of Explainable AI to Refine Artificial Immune System Algorithms. 71-74 - Martin Fyvie, John A. W. McCall, Lee A. Christie:
Non-Deterministic Solvers and Explainable AI through Trajectory Mining. 75-78
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