Explainable AI

2026

Gennie Mansi, Julia Kim, Michael Rosenbloom, and Mark Riedl
Drawing Out Legal Risks: Co-Designing with Lawyers to Predict and Manage Legal Uncertainties of Medical AI Tools
arXiv:2606.30828 (2026).
arXiv bibtexExplainable AIHealthcarePolicy and Law

@Article{Mansi2026Drawing, author = {Mansi, Gennie and Kim, Julia and Rosenbloom, Michael and Riedl, Mark}, journal = {arXiv:2606.30828}, title = {Drawing Out Legal Risks: Co-Designing with Lawyers to Predict and Manage Legal Uncertainties of Medical AI Tools}, year = {2026}, owner = {riedl}, url = {https://arxiv.org/abs/2606.30828}, keywords = {xai, health, policy}, }

Madhuri Singh, Grace C. Kim, Mika Okomoto, Aarushi Ammavajjala, Amal Alabdulkarim, Genni Mansi, and Mark O. Riedl
Counterfactual Explanations for Agentic Workflows
Proceedings of the 2026 CHI Workshop on Human-Centered Explainable AI (2026).
zenodo Workshop bibtexAgentsExplainable AI

@InProceedings{Singh2026Agentic, author = {Singh, Madhuri and Kim, Grace C. and Okomoto, Mika and Ammavajjala, Aarushi and Alabdulkarim, Amal and Mansi, Genni and Riedl, Mark O.}, booktitle = {Proceedings of the 2026 CHI Workshop on Human-Centered Explainable {AI}}, title = {Counterfactual Explanations for Agentic Workflows}, year = {2026}, owner = {riedl}, url = {https://zenodo.org/records/19700286}, keywords = {agents, xai}, }

Mika Okamoto, Ansel Kaplan Erol, and Mark Riedl
Explainable Model Routing for Agentic Workflows
Proceedings of the 2026 CHI Workshop on Human-Centered Explainable AI (2026).
arXiv Workshop bibtexAgentsExplainable AI

@InProceedings{Okamoto2026Routing, author = {Mika Okamoto and Erol, Ansel Kaplan and Mark Riedl}, booktitle = {Proceedings of the 2026 CHI Workshop on Human-Centered Explainable {AI}}, title = {Explainable Model Routing for Agentic Workflows}, year = {2026}, owner = {riedl}, url = {https://arxiv.org/abs/2604.03527}, keywords = {agents, xai}, }

Gennie Mansi and Mark O. Riedl
Evaluating Actionability in Explainable AI
Proceedings of the 2026 International Conference on Human Computer Interaction (2026).
arXiv Conference bibtexExplainable AI

@InProceedings{Mansi2026Evaluating, author = {Mansi, Gennie and Riedl, Mark O.}, booktitle = {Proceedings of the 2026 International Conference on Human Computer Interaction}, title = {Evaluating Actionability in Explainable AI}, year = {2026}, owner = {riedl}, url = {https://arxiv.org/abs/2601.20086}, keywords = {xai}, }

2025

Gennie Mansi and Mark O. Riedl
Understanding the Impact of Physicians' Legal Considerations on XAI Systems
arXiv:2507.15996 (2025).
arXiv bibtexExplainable AIHealthcarePolicy and Law

@Article{Mansi2025PhysiciansLegalConsiderations, author = {Mansi, Gennie and Riedl, Mark O.}, journal = {arXiv:2507.15996}, title = {Understanding the Impact of Physicians' Legal Considerations on XAI Systems}, year = {2025}, owner = {riedl}, url = {https://arxiv.org/abs/2507.15996}, keywords = {xai, health, policy}, }

Gennie Mansi and Mark O. Riedl
Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
arXiv:2507.15981 (2025).
arXiv bibtexExplainable AIHealthcarePolicy and Law

@Article{Mansi2025ImplicationsLitigation, author = {Mansi, Gennie and Riedl, Mark O.}, journal = {arXiv:2507.15981}, title = {Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery}, year = {2025}, owner = {riedl}, url = {https://arxiv.org/abs/2507.15981}, keywords = {xai, health, policy}, }

Maduri Singh, Amal Alabdulkarim, Gennie Mansi, and Mark O. Riedl
Explainable Reinforcement Learning Agents Using World Models
Proceedings of the 2025 IJCAI Workshop on Explainable AI (2025).
arXiv Workshop bibtexAgentsExplainable AIReinforcement Learning

@InProceedings{Singh2025ReverseWorldModels, author = {Singh, Maduri and Alabdulkarim, Amal and Mansi, Gennie and Riedl, Mark O.}, booktitle = {Proceedings of the 2025 IJCAI Workshop on Explainable AI}, title = {Explainable Reinforcement Learning Agents Using World Models}, year = {2025}, owner = {riedl}, url = {https://arxiv.org/abs/2505.08073}, keywords = {agents, xai, rl}, }

Gennie Mansi, Naveena Karusala, and Riedl Mark O.
Legally-Informed Explainable AI
Proceedings of the 2025 CHI Workshop on Human-Centered Explainable AI (2025).
arXiv Workshop bibtexExplainable AIPolicy and Law

@InProceedings{Mansi2025Legal, author = {Mansi, Gennie and Karusala, Naveena and Riedl Mark O.}, booktitle = {Proceedings of the 2025 CHI Workshop on Human-Centered Explainable AI}, title = {Legally-Informed Explainable AI}, year = {2025}, owner = {riedl}, url = {https://arxiv.org/abs/2504.10708}, keywords = {xai, policy}, }

Amal Alabdulkarim, Madhuri Singh, Gennie Mansi, Kaely Hall, and Mark O. Riedl
Experiential Explanations for Reinforcement Learning
Neural Computing and Applications 37 (2025).
arXiv Journal bibtexAgentsExplainable AIReinforcement Learning

@Article{Alabdulkarim2025Experiential, author = {Amal Alabdulkarim and Madhuri Singh and Gennie Mansi and Kaely Hall and Riedl, Mark O.}, journal = {Neural Computing and Applications}, title = {Experiential Explanations for Reinforcement Learning}, year = {2025}, volume = {37}, url = {https://arxiv.org/abs/2210.04723}, keywords = {agents, xai, rl}, }

2024

Gennie Mansi and Mark Riedl
Recognizing Lawyers as AI Creators and Intermediaries in Contestability
Proceedings of the CSCW 2024 Workshop: From Stem to Stern: Contestability Along AI Value Chains (2024).
arXiv Workshop bibtexExplainable AIPolicy and Law

@InProceedings{Mansi2024Recognizing, author = {Gennie Mansi and Mark Riedl}, booktitle = {Proceedings of the CSCW 2024 Workshop: From Stem to Stern: Contestability Along AI Value Chains}, title = {Recognizing Lawyers as AI Creators and Intermediaries in Contestability}, year = {2024}, owner = {riedl}, url = {https://arxiv.org/abs/2409.17626}, keywords = {xai, policy}, }

Kenneth Eaton, Jonathan Balloch, Julia Kim, and Mark Riedl
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited
Proceedings of the 2024 Reinforcement Learning Conference Workshop I Can't Believe It's not Better (2024).
arXiv Workshop bibtexAgentsExplainable AIInterpretabilityReinforcement Learning

@InProceedings{Eaton2024InterpretabilityOfCodebooks, author = {Kenneth Eaton and Jonathan Balloch and Julia Kim and Mark Riedl}, booktitle = {Proceedings of the 2024 Reinforcement Learning Conference Workshop I Can't Believe It's not Better}, title = {The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited}, year = {2024}, owner = {riedl}, url = {https://arxiv.org/abs/2407.19532}, keywords = {agents, xai, interp, rl}, }

Upon Ehsan and Mark O. Riedl
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
Proceedings of the ACM 2024 Halfway to the Future Symposium (2024).
Conference bibtexExplainable AI

@InProceedings{Ehsan2024ExplainableAIReloaded, author = {Ehsan, Upon and Riedl, Mark O.}, booktitle = {Proceedings of the ACM 2024 Halfway to the Future Symposium}, title = {Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models}, year = {2024}, owner = {riedl}, keywords = {xai}, }

Gennie Mansi and Mark O. Riedl
Recognizing Lawyers as AI Creators and Intermediaries in Contestability
Proceedings of the CSCW Workshop From Stem to Stern: Contestability Along AI Value Chains (2024).
arXiv Workshop bibtexExplainable AIPolicy and Law

@InProceedings{Mansi2024RecognizingLawyers, author = {Mansi, Gennie and Riedl, Mark O.}, booktitle = {Proceedings of the CSCW Workshop From Stem to Stern: Contestability Along AI Value Chains}, title = {Recognizing Lawyers as AI Creators and Intermediaries in Contestability}, year = {2024}, owner = {riedl}, url = {https://arxiv.org/abs/2409.17626}, keywords = {xai, policy}, }

Upon Ehsan and Mark O. Riedl
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
Proceedings of the Halfway to the Future Symposium (2024).
arXiv Conference bibtexExplainable AI

@InProceedings{Ehsan2024Reloaded, author = {Ehsan, Upon and Riedl, Mark O.}, booktitle = {Proceedings of the Halfway to the Future Symposium}, title = {Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models}, year = {2024}, owner = {riedl}, url = {https://arxiv.org/abs/2408.05345}, keywords = {xai}, }

Upol Ehsan, Qingzi Vera Liao, Samir Passi, Mark O. Riedl, and Hal Daum'e
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Proceedings of the ACM Conference on Computer Supported Collaborative Work (2024).
arXiv Conference bibtexExplainable AI

@InProceedings{Ehsan2024Seamful, author = {Upol Ehsan and Qingzi Vera Liao and Samir Passi and Mark O. Riedl and Hal Daum{\'e}}, booktitle = {Proceedings of the ACM Conference on Computer Supported Collaborative Work}, title = {Seamful XAI: Operationalizing Seamful Design in Explainable AI}, year = {2024}, url = {https://arxiv.org/abs/2211.06753}, keywords = {xai}, }

Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael Muller, and Mark O. Riedl
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
Proceedings of CHI 2024 (2024).
arXiv Conference bibtexExplainable AI

@InProceedings{Ehsan2024Who, author = {Upol Ehsan and Samir Passi and Liao, Q. Vera and Larry Chan and Lee, I-Hsiang and Michael Muller and Riedl, Mark O.}, booktitle = {Proceedings of CHI 2024}, title = {The Who in Explainable {AI}: How AI Background Shapes Perceptions of {AI} Explanations}, year = {2024}, owner = {riedl}, timestamp = {2021.07.29}, url = {https://arxiv.org/abs/2107.13509}, keywords = {xai}, }

2023

Upol Ehsan, Koustuv Saha, Munmun De Choudhury, and Mark O. Riedl
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
Proceedings of the 2023 ACM Conference On Computer-Supported Cooperative Work And Social Computing (2023).
arXiv Conference bibtexExplainable AI

@InProceedings{Ehsan2023Charting, author = {Upol Ehsan and Koustuv Saha and De Choudhury, Munmun and Riedl, Mark O.}, booktitle = {{Proceedings of the 2023 ACM Conference On Computer-Supported Cooperative Work And Social Computing}}, title = {Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI}, year = {2023}, owner = {riedl}, url = {https://arxiv.org/abs/2302.00799}, keywords = {xai}, }

Gennie Mansi and Mark O. Riedl
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions
Proceedings of the 2023 CHI Workshop on Human-Centered Explainable AI (2023).
arXiv Workshop bibtexExplainable AI

@InProceedings{Mansi2023DoSomething, author = {Gennie Mansi and Riedl, Mark O.}, booktitle = {{Proceedings of the 2023 CHI Workshop on Human-Centered Explainable AI}}, title = {Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions}, year = {2023}, owner = {riedl}, url = {https://arxiv.org/abs/2305.06297}, keywords = {xai}, }

2022

Xiangyu Peng, Mark O. Riedl, and Prithviraj Ammanabrolu
Inherently Explainable Reinforcement Learning in Natural Language
Proceedings of NeurIPS 2022 (2022).
arXiv Conference bibtexInteractive StoriesAgentsExplainable AIInterpretabilityReinforcement Learning

@InProceedings{Peng2022InherentlyExplainable, author = {Xiangyu Peng and Riedl, Mark O. and Prithviraj Ammanabrolu}, booktitle = {Proceedings of NeurIPS 2022}, title = {Inherently Explainable Reinforcement Learning in Natural Language}, year = {2022}, owner = {riedl}, url = {https://arxiv.org/abs/2112.08907}, keywords = {int, agents, xai, interp, rl}, }

Kaige Xie, Sarah Wiegreffe, and Mark Riedl
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
Findings of EMNLP 2022 (2022).
arXiv Conference bibtexLarge Language ModelsExplainable AI

@Article{Xie2022CalibratingTrust, author = {Kaige Xie and Sarah Wiegreffe and Mark Riedl}, journal = {Findings of EMNLP 2022}, title = {Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes}, year = {2022}, owner = {riedl}, url = {https://arxiv.org/abs/2204.07693}, keywords = {llms, xai}, }

Upol Ehsan and Mark O. Riedl
Social Construction of XAI: Do We Need One Definition to Rule Them All?
Proceedings of the NeurIPS 2022 Workshop on Human-Centered AI (2022).
arXiv Workshop bibtexExplainable AI

@InProceedings{Ehsan2022SCOT, author = {Upol Ehsan and Riedl, Mark O.}, booktitle = {Proceedings of the NeurIPS 2022 Workshop on Human-Centered AI}, title = {Social Construction of XAI: Do We Need One Definition to Rule Them All?}, year = {2022}, owner = {riedl}, url = {https://arxiv.org/abs/2211.06499}, keywords = {xai}, }

Xiangyu Peng, Mark O. Riedl, and Prithviraj Ammanabrolu
Inherently Explainable Reinforcement Learning in Natural Language
Proceedings of the 2022 Multi-disciplinary Conference on Reinforcement Learning and Decision Making (2022).
arXiv Conference bibtexInteractive StoriesAgentsExplainable AIInterpretabilityReinforcement Learning

@InProceedings{Peng2022Inherently, author = {Xiangyu Peng and Riedl, Mark O. and Prithviraj Ammanabrolu}, title = {Inherently Explainable Reinforcement Learning in Natural Language}, booktitle = {Proceedings of the 2022 Multi-disciplinary Conference on Reinforcement Learning and Decision Making}, year = {2022}, owner = {riedl}, timestamp = {2022.07.20}, url = {https://arxiv.org/abs/2112.08907}, keywords = {int, agents, xai, interp, rl}, }

2021

Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, and Yejin Choi
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Proceedings of NAACL 2022 (2021).
arXiv Conference bibtexLarge Language ModelsExplainable AI

@InProceedings{Wiegreffe2022Reframing, author = {Sarah Wiegreffe and Jack Hessel and Swabha Swayamdipta and Riedl, Mark O. and Yejin Choi}, booktitle = {Proceedings of NAACL 2022}, title = {Reframing Human-AI Collaboration for Generating Free-Text Explanations}, year = {2021}, owner = {riedl}, timestamp = {2022.02.24}, url = {https://arxiv.org/abs/2112.08674}, keywords = {llms, xai}, }

Upol Ehsan and Mark O. Riedl
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Proceedings of the NeurIPS Workshop on Human Centered AI (2021).
arXiv Workshop bibtexExplainable AI

@InProceedings{Ehsan2021Pitfalls, author = {Ehsan, Upol and Riedl, Mark O.}, title = {Explainability Pitfalls: Beyond Dark Patterns in Explainable AI}, booktitle = {Proceedings of the NeurIPS Workshop on Human Centered AI}, year = {2021}, owner = {riedl}, timestamp = {2021.12.10}, url = {https://arxiv.org/abs/2109.12480}, keywords = {xai}, }

Xiangyu Peng, Prithviraj Ammanabrolu, and Mark Riedl
Explainable Reinforcement Learning Agents with Stacked Hierarchical Graph Attention
Workshop on Explainable Graph-based Machine Learning at AKBC (2021).
Workshop bibtexAgentsExplainable AIInterpretabilityReinforcement Learning

@InProceedings{peng2021explainable, author = {Xiangyu Peng and Prithviraj Ammanabrolu and Mark Riedl}, title = {Explainable Reinforcement Learning Agents with Stacked Hierarchical Graph Attention}, booktitle = {Workshop on Explainable Graph-based Machine Learning at AKBC}, year = {2021}, keywords = {agents, xai, interp, rl}, }

Sarah Wiegreffe, Ana Marasovic, and Noah A. Smith
Measuring Association Between Labels and Free-Text Rationales
Proceedings of NAACL 2021 (2021).
arXiv Conference bibtexLarge Language ModelsExplainable AIInterpretability

@InProceedings{Wiegreffe2021Measuring, author = {Sarah Wiegreffe and Ana Marasovic and Smith, Noah A.}, title = {Measuring Association Between Labels and Free-Text Rationales}, booktitle = {Proceedings of NAACL 2021}, year = {2021}, owner = {riedl}, timestamp = {2021.08.29}, url = {https://arxiv.org/abs/2010.12762}, keywords = {llms, xai, interp}, }

Sarah Wiegreffe and Ana Marasovic
Teach Me to Explain: A Review of Datasets for Explainable NLP
Proceedings of the 2021 Conference on Neural Information Processing Systems (2021).
arXiv Conference bibtexExplainable AI

@InProceedings{Wiegreffe2021TeachExplain, author = {Sarah Wiegreffe and Ana Marasovic}, title = {Teach Me to Explain: A Review of Datasets for Explainable {NLP}}, booktitle = {Proceedings of the 2021 Conference on Neural Information Processing Systems}, year = {2021}, owner = {riedl}, timestamp = {2021.07.29}, url = {https://arxiv.org/abs/2102.12060}, keywords = {xai}, }

Ronal Singh, Upol Ehsan, Marc Cheong, Mark O. Riedl, and Tim Miller
LEx: A Framework for Operationalising Layers of Machine Learning Explanations
Proceedings of the CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (2021).
arXiv Workshop bibtexExplainable AI

@InProceedings{SinghLEX2021, author = {Ronal Singh and Upol Ehsan and Marc Cheong and Riedl, Mark O. and Tim Miller}, title = {LEx: A Framework for Operationalising Layers of Machine Learning Explanations}, booktitle = {Proceedings of the CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI}, year = {2021}, owner = {riedl}, timestamp = {2021.05.21}, url = {https://arxiv.org/abs/2104.09612}, keywords = {xai}, }

D. Srivastava, Spencer Frazier, Mark O. Riedl, and K. Feigh
Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains
International Joint Conference on Computer Vision, Imaging, and Computer Graphics Theory and Applications (2021).
Conference bibtexAgentsExplainable AIReinforcement Learning

@InProceedings{Srivastava2021EffectOI, author = {D. Srivastava and Spencer Frazier and Mark O. Riedl and K. Feigh}, title = {Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains}, booktitle = {International Joint Conference on Computer Vision, Imaging, and Computer Graphics Theory and Applications}, year = {2021}, keywords = {agents, xai, rl}, }

Upol Ehsan, Q. Liao, Michael J. Muller, Mark O. Riedl, and Justin D. Weisz
Expanding Explainability: Towards Social Transparency in AI systems
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (2021).
arXiv Conference bibtexExplainable AI

@InProceedings{Ehsan2021ExpandingET, author = {Upol Ehsan and Q. Liao and Michael J. Muller and Mark O. Riedl and Justin D. Weisz}, title = {Expanding Explainability: Towards Social Transparency in AI systems}, booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems}, year = {2021}, url = {https://arxiv.org/abs/2101.04719}, keywords = {xai}, }

Upol Ehsan, Philipp Wintersberger, Q. V. Liao, Martina Mara, M. Streit, Sandra Wachter, A. Riener, and Mark O. Riedl
Operationalizing Human-Centered Perspectives in Explainable AI
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (2021).
ACM/DL Conference bibtexExplainable AI

@InProceedings{Ehsan2021OperationalizingHP, author = {Upol Ehsan and Philipp Wintersberger and Q. V. Liao and Martina Mara and M. Streit and Sandra Wachter and A. Riener and Mark O. Riedl}, title = {Operationalizing Human-Centered Perspectives in Explainable {AI}}, booktitle = {Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems}, year = {2021}, url = {https://dl.acm.org/doi/10.1145/3411763.3441342}, keywords = {xai}, }

2020

Upol Ehsan and Mark O. Riedl
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Proceedings of HCI International 2020: 22nd International Conference On Human-Computer Interaction (2020).
arXiv Conference bibtexExplainable AI

@InProceedings{Ehsan2020HumancenteredEA, author = {Upol Ehsan and Mark O. Riedl}, title = {Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach}, booktitle = {Proceedings of HCI International 2020: 22nd International Conference On Human-Computer Interaction}, year = {2020}, url = {https://arxiv.org/abs/2002.01092}, keywords = {xai}, }

2019

Mark O. Riedl
Human-Centered Artificial Intelligence and Machine Learning
Human Behavior and Emerging Technologies 1 (2019).
arXiv Journal bibtexExplainable AI

@Article{riedl:hbet2019, author = {Riedl, Mark O.}, title = {Human-Centered Artificial Intelligence and Machine Learning}, journal = {Human Behavior and Emerging Technologies}, year = {2019}, volume = {1}, owner = {riedl}, timestamp = {2019.01.11}, url = {https://arxiv.org/abs/1901.11184}, keywords = {xai}, }

Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, and Mark O. Riedl
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions
Proceedings of the 2019 ACM International Conference on Intelligent User Interfaces (2019).
arXiv Conference bibtexAgentsExplainable AI

@InProceedings{ehsan:iui2019, author = {Upol Ehsan and Pradyumna Tambwekar and Larry Chan and Brent Harrison and Riedl, Mark O.}, title = {Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions}, booktitle = {Proceedings of the 2019 ACM International Conference on Intelligent User Interfaces}, year = {2019}, owner = {riedl}, timestamp = {2019.01.11}, url = {https://arxiv.org/abs/1901.03729}, keywords = {agents, xai}, }

2018

Upol Ehsan, Brent Harrison, Larry Chan, and Mark O Riedl
Rationalization: A neural machine translation approach to generating natural language explanations
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (2018).
arXiv Conference bibtexAgentsExplainable AI

@inproceedings{ehsan2018rationalization, title={Rationalization: A neural machine translation approach to generating natural language explanations}, author={Ehsan, Upol and Harrison, Brent and Chan, Larry and Riedl, Mark O}, booktitle={Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society}, pages={81--87}, year={2018}, owner = {riedl}, timestamp = {2017.02.26}, url = {https://arxiv.org/abs/1702.07826}, keywords = {agents, xai}, }

Matthew Guzdial, Josh Reno, Jonathan Chen, Gillian Smith, and Mark O. Riedl
Explainable PCGML via Design Patterns
Proceedings of the 2018 AAAI Workshop on Experimental AI in Games (2018).
Workshop bibtexExplainable AICreativityGame Generation

@InProceedings{guzdial:smith:exag2018, Title = {Explainable {PCGML} via Design Patterns}, Author = {Guzdial, Matthew and Josh Reno and Jonathan Chen and Smith, Gillian and Riedl, Mark O.}, Booktitle = {Proceedings of the 2018 AAAI Workshop on Experimental {AI} in Games}, Year = {2018}, Owner = {riedl}, Timestamp = {2018.07.19}, keywords = {xai, create, game}, }

Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, and Mark O. Riedl
Learning to Generate Natural Language Rationales for Game Playing Agents
Proceedings of the 2018 AAAI Workshop on Experimental AI in Games (2018).
Workshop bibtexAgentsExplainable AI

@InProceedings{ehsan:exag2018, Title = {Learning to Generate Natural Language Rationales for Game Playing Agents}, Author = {Upol Ehsan and Pradyumna Tambwekar and Larry Chan and Brent Harrison and Riedl, Mark O.}, Booktitle = {Proceedings of the 2018 AAAI Workshop on Experimental {AI} in Games}, Year = {2018}, Owner = {riedl}, Timestamp = {2018.11.12}, keywords = {agents, xai}, }