Mark Riedl
Professor
Researches human-centered AI, including story understanding and generation, computational creativity and explainable AI.
Mark Riedl's lab at Georgia Tech works on human-AI collaboration & trust and trustworthy & safe ML. 44 papers since 2023, 6 at top venues, mostly CHI and EACL. 5 PhD students and 2 master's students. 16 alumni. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 14%
- PhD students
- 5
- MS students
- 2
- alumni listed
- 16
Papers by yearfrom the lab homepage, 2023–2026
- 11 papers2026 · T1 1 · collecting
- 11 papers2025 · T1 2
- 12 papers2024 · T1 2
- 10 papers2023 · T1 1
T1 venuesOtherVenues: CHI, EACL, AAMAS, COLING, ICLR
Research focuspaper titles that use each topic's words
- explainable8 papers
- Trustworthy & safe ML6 papers
- Human-AI collaboration & trust3 papers
- creativity2 papers
- human-centered0 papers
Paper list
From the lab homepage.
202611 papers
- Proceedings of the Conference on Language ModelsCapability Provenance in Language Models: A Case Study in Social Reasoning
- CHI WorkshopCounterfactual Explanations for Agentic Workflows
- Proceedings of the International Society of the Learning Sciences Annual MeetingCreating learning scaffolds for engineering design using Concept Catalyst
- Proceedings of the International Conference on Human Computer InteractionEvaluating Actionability in Explainable AI
- CHI WorkshopExplainable Model Routing for Agentic Workflows
- CHI (T1)From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction
- Proceedings of the COLM Workshop on Social Simulations with LLMsNo One Wins in Nuclear War: Social Simulations of High-Stakes Military Decision-Making
- Proceedings of the COLM Workshop on Social Simulations with LLMsPosition: AI is Not Ready for Strategic Conflict
- Proceedings of the COLM Workshop on Social Simulations with LLMsRole Steering of Language Models for Social Simulations
- Berkeley Technology Law Review forthcomingUsing Agency Law to Tame AI Agents
- Proceedings of the CVPR FindingsWorld Model Robustness via Surprise Recognition
202511 papers
- Proceedings of the AAAI Conference on AI, Ethics, and SocietyAI Agents and the Law
- Proceedings of the Conference on Language ModelsDo Language Models Agree with Human Perceptions of Suspense in Stories?
- Neural Computing and ApplicationsExperiential Explanations for Reinforcement Learning
- IJCAI WorkshopExplainable Reinforcement Learning Agents Using World Models
- Information and Learning Sciences to appearExploring AI intervention points in high-school engineering education: a research through co-design approach
- CHI WorkshopLegally-Informed Explainable AI
- COLING (T1)Making Large Language Models into World Models with Precondition and Effect Knowledge
- Transactions on Machine Learning Research MayMulti-Attribute Constraint Satisfaction via Language Model Rewriting
- ICML (T1)Novelty Detection in Reinforcement Learning with World Models
- Proceedings of the EMNLP Word Play WorkshopShall We Play a Game? Language Models for Open-ended Wargames
- Proceedings of the International Conference on Machine Learning and ApplicationsThe Goofus & Gallant Story Corpus for Practical Value Alignment
202412 papers
- Northwestern Journal of Technology and Intellectual PropertyBetween Copyright and Computer Science: The Law and Ethics of Generative AI
- AAAI WorkshopBeyond Following: Mixing Active Initiative into Computational Creativity
- EACLCreating Suspenseful Stories with Large Language Models
- Proceedings of the ACM Halfway to the Future SymposiumExplainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
- Proceedings of the Reinforcement Learning Conference Workshop on Reinforcement Learning Beyond RewardsExternal Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling
- EACLFew-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer
- ICLR (T1)Improving Language Models with Advantage-based Offline Policy Gradients
- Proceedings of the Reinforcement Learning Conference Workshop on Finding the Frame: Examining Conceptual Frameworks in Reinforcement LearningIs Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning
- CSCW WorkshopRecognizing Lawyers as AI Creators and Intermediaries in Contestability
- Proceedings of the ACM Conference on Computer Supported Collaborative WorkSeamful XAI: Operationalizing Seamful Design in Explainable AI
- Proceedings of the Reinforcement Learning Conference Workshop I Can't Believe It's not BetterThe Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited
- CHI (T1)The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
202310 papers
- NeurIPS WorkshopAn Ontology of Co-Creative AI Systems
- Proceedings of the International Conference on Computational CreativityBeyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems
- Proceedings of the ACM Conference On Computer-Supported Cooperative Work And Social ComputingCharting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
- AAAI WorkshopDialogue Shaping: Empowering Agents through NPC Interaction
- Proceedings of the Annual Meeting of the Amercan Educational Research AssociationExamining Hard and Soft Skill Prioritization in HighSchool Engineering Education
- AAMAS (T1)Neuro-Symbolic World Models for Adapting to Open World Novelty
- Proceedings of the International Conference on Learning SciencesProblem-solving or Solved Problems: Constricting design challenges in high-school engineering education to avoid (disruptive) failures
- Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital EntertainmentStory Shaping: Teaching Agents Human-like Behavior with Stories
- AAAI WorkshopThespian: Multi-Character Text Role-Playing Game Agents
- CHI WorkshopWhy Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions
Where alumni went16 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
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- Single round
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- optional
- English
- TOEFL/IELTS
- Fee
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Not yet confirmed for this intake.
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