@Article{Desai2026UsingAgency,
author = {Desai, Deven R. and Riedl, Mark O.},
journal = {Berkeley Technology Law Review},
title = {Using Agency Law to Tame {AI} Agents},
year = {2026},
volume = {forthcoming},
owner = {riedl},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5147666},
keywords = {agents, policy, align},
}
2025
Mark O. Riedl and Deven R. Desai AI Agents and the Law Proceedings of the 2025 AAAI Conference on AI, Ethics, and Society (2025). arXivConferencebibtexAgentsPolicy and LawValue Alignment
@InProceedings{Riedl2025AgentsAndLaw,
author = {Riedl, Mark O. and Desai, Deven R.},
booktitle = {Proceedings of the 2025 AAAI Conference on AI, Ethics, and Society},
title = {AI Agents and the Law},
year = {2025},
owner = {riedl},
url = {https://arxiv.org/abs/2508.08544},
keywords = {agents, policy, align},
}
Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier, Mark Riedl, and Brent Harrison The Goofus & Gallant Story Corpus for Practical Value Alignment Proceedings of the International Conference on Machine Learning and Applications (2025). arXivConferencebibtexStorytellingValue Alignment
@InProceedings{Nahian2025Goofus,
author = {Md Sultan Al Nahian and Tasmia Tasrin and Spencer Frazier and Mark Riedl and Brent Harrison},
booktitle = {Proceedings of the International Conference on Machine Learning and Applications},
title = {The Goofus & Gallant Story Corpus for Practical Value Alignment},
year = {2025},
owner = {riedl},
url = {https://arxiv.org/abs/2501.09707},
keywords = {story, align},
}
@InProceedings{Baheti2023LOL,
author = {Ashutosh Baheti and Ximing Lu and Faeze Brahman and Ronan Le Bras and Maarten Sap and Riedl, Mark O.},
booktitle = {Proceedings of ICLR 2024},
title = {Improving Language Models with Advantage-based Offline Policy Gradients},
year = {2024},
owner = {riedl},
url = {https://arxiv.org/abs/2305.14718},
keywords = {llms, rl, align, safe},
}
2023
Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, and Mark O. Riedl Story Shaping: Teaching Agents Human-like Behavior with Stories Proceedings of the 2023 AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2023). arXivConferencebibtexStorytellingInteractive StoriesAgentsReinforcement LearningValue Alignment
@InProceedings{Peng2023Shaping,
author = {Xiangyu Peng and Christopher Cui and Wei Zhou and Renee Jia and Riedl, Mark O.},
booktitle = {{Proceedings of the 2023 AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment}},
title = {Story Shaping: Teaching Agents Human-like Behavior with Stories},
year = {2023},
owner = {riedl},
url = {https://arxiv.org/abs/2301.10107},
keywords = {story, int, agents, rl, align},
}
2022
Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, and Mark Riedl Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning arXiv preprint arXiv:2210.07792 (2022). arXivbibtexStorytellingLarge Language ModelsReinforcement LearningValue Alignment
@Article{Castricato2022Robust,
author = {Louis Castricato and Alexander Havrilla and Shahbuland Matiana and Michael Pieler and Anbang Ye and Ian Yang and Spencer Frazier and Riedl, Mark},
journal = {arXiv preprint arXiv:2210.07792},
title = {Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning},
year = {2022},
owner = {riedl},
url = {https://arxiv.org/abs/2210.07792},
keywords = {story, llms, rl, align},
}
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, and Mark Riedl Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories arXiv preprint arXiv:2212.06048 (2022). arXivbibtexStorytellingValue Alignment
@Article{Nahian2022NaturallyOccurring,
author = {Md Sultan Al Nahian and Spencer Frazier and Brent Harrison and Riedl, Mark},
journal = {arXiv preprint arXiv:2212.06048},
title = {Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories},
year = {2022},
owner = {riedl},
url = {https://arxiv.org/abs/2212.06048},
keywords = {story, align},
}
2021
Ashutosh Baheti, Maarten Sap, Alan Ritter, and Mark O. Riedl Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts Proceedings of EMNLP 2021 (2021). arXivConferencebibtexLarge Language ModelsValue AlignmentAI Safety
@InProceedings{Baheti2021JustSayNo,
author = {Ashutosh Baheti and Maarten Sap and Alan Ritter and Riedl, Mark O.},
title = {Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts},
booktitle = {Proceedings of EMNLP 2021},
year = {2021},
owner = {riedl},
timestamp = {2021.09.01},
url = {https://arxiv.org/abs/2108.11830},
keywords = {llms, align, safe},
}
@Article{NahianTraining2021,
author = {Md Sultan Al Nahian and Spencer Frazier and Brent Harrison and Riedl, Mark O.},
title = {Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior},
journal = {arXiv:2104.09469},
year = {2021},
owner = {riedl},
timestamp = {2021.05.21},
url = {https://arxiv.org/abs/2104.09469},
keywords = {agents, rl, align, safe},
}
2020
Spencer Frazier, Md Sultan Al Nahian, Mark O. Riedl, and Brent Harrison Learning Norms from Stories: A Prior for Value Aligned Agents Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (2020). arXivConferencebibtexStorytellingValue Alignment
@InProceedings{Frazier2020LearningNF,
author = {Spencer Frazier and Md Sultan Al Nahian and Mark O. Riedl and Brent Harrison},
title = {Learning Norms from Stories: A Prior for Value Aligned Agents},
booktitle = {Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
year = {2020},
url = {https://arxiv.org/abs/1912.03553},
keywords = {story, align},
}
Xiangyu Peng, S. Li, Spencer Frazier, and Mark O. Riedl Reducing Non-Normative Text Generation from Language Models International Conference on Natural Language Generation (2020). arXivConferencebibtexLarge Language ModelsValue AlignmentAI Safety
@InProceedings{Peng2020ReducingNT,
author = {Xiangyu Peng and S. Li and Spencer Frazier and Mark O. Riedl},
title = {Reducing Non-Normative Text Generation from Language Models},
booktitle = {International Conference on Natural Language Generation},
year = {2020},
url = {https://arxiv.org/abs/2001.08764},
keywords = {llms, align, safe},
}
2016
Mark Riedl and Brent Harrison Using Stories to Teach Human Values to Artificial Agents Proceedings of the 2nd International Workshop on AI, Ethics and Society (2016). PDFWorkshopbibtexAgentsValue AlignmentAI Safety
@InProceedings{riedl:aaai-ethics2016,
author = {Riedl, Mark and Harrison, Brent},
title = {Using Stories to Teach Human Values to Artificial Agents},
booktitle = {Proceedings of the 2nd International Workshop on {AI}, Ethics and Society},
year = {2016},
owner = {riedl},
timestamp = {2015.10.23},
url = {http://www.cc.gatech.edu/~riedl/pubs/aaai-ethics16.pdf},
keywords = {agents, align, safe},
}
Brent Harrsion and Mark O Riedl Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents Proceedings of the 2016 AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2016). PDFConferencebibtexAgentsValue AlignmentAI SafetyHuman Computation
@InProceedings{harrison:aiide2016,
author = {Harrsion, Brent and Riedl, Mark O},
title = {Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents},
booktitle = {Proceedings of the 2016 AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment},
year = {2016},
owner = {riedl},
timestamp = {2016.06.08},
url = {http://www.cc.gatech.edu/~riedl/pubs/harrison-aiide16.pdf},
keywords = {agents, align, safe, hcomp},
}
Brent Harrison and Mark Riedl Towards Learning From Stories: An Approach for Interactive Machine Learning Proceedings of the AAAI'16 Workshop on Symbiotic Cognitive Systems (2016). PDFWorkshopbibtexAgentsValue AlignmentAI Safety
@InProceedings{harrison:aaai-symbiotic2016,
author = {Harrison, Brent and Riedl, Mark},
title = {Towards Learning From Stories: An Approach for Interactive Machine Learning},
booktitle = {Proceedings of the AAAI'16 Workshop on Symbiotic Cognitive Systems},
year = {2016},
owner = {riedl},
timestamp = {2015.10.23},
url = {http://www.cc.gatech.edu/~riedl/pubs/aaai-symbiotic16.pdf},
keywords = {agents, align, safe},
}
Brent Harrison, Siddhartha Banerjee, and Mark O. Riedl Learning from Stories: Using Natural Communication to Train Believable Agents Proceedings of the 2016 IJCAI Workshop on Interactive Machine Learning (2016). PDFWorkshopbibtexAgentsValue AlignmentAI Safety
@InProceedings{harrison:ijcai-iml2016,
author = {Harrison, Brent and Banerjee, Siddhartha and Riedl, Mark O.},
title = {Learning from Stories: Using Natural Communication to Train Believable Agents},
booktitle = {Proceedings of the 2016 IJCAI Workshop on Interactive Machine Learning},
year = {2016},
owner = {riedl},
timestamp = {2015.11.21},
url = {http://www.cc.gatech.edu/~riedl/pubs/ijcai-iml16.pdf},
keywords = {agents, align, safe},
}
2012
Boyang Li, D. Scott Appling, Stephen Lee-Urban, and Mark O. Riedl Learning Sociocultural Knowledge via Crowdsourced Examples Proceedings of the 4th Workshop on Human Computation (2012). PDFWorkshopbibtexStorytellingValue AlignmentHuman Computation
@InProceedings{li:hcomp2012,
author = {Li, Boyang and Appling, D. Scott and Lee-Urban, Stephen and Riedl, Mark O.},
title = {Learning Sociocultural Knowledge via Crowdsourced Examples},
booktitle = {Proceedings of the 4th Workshop on Human Computation},
year = {2012},
address = {Toronto, Canada},
month = {July},
owner = {riedl},
timestamp = {2012.04.02},
url = {http://www.cc.gatech.edu/~riedl/pubs/hcomp12.pdf},
keywords = {story, align, hcomp},
}