Awesome Human-AI Interaction
Awesome HAI is a collection of academic materials related to the topic of Human-AI interaction.
- We include both research papers that discuss challenges and opportunities in interaction design with general AI from the Human-Computer Interaction (HCI) perspective and that specifically discuss how advances in Deep Learning can address interactive challenges from the AI perspective. We also include Human-AI Interaction courses from universities worldwide.
- The collection is maintained by a community of volunteered students, make a pull request if you want to contribute :)
Table of Contents
Research Papers
ACM Conference on Human Factors in Computing Systems (CHI)
ACM User Interface and Software Technology Symposium (UIST)
ACM Annual Meeting of the Intelligent User Interfaces Community (IUI)
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp)
ACM International Symposium on Wearable Computers (ISWC)
IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE InfoVis, VAST, SciVis)
Computer Graphics Forum (Proceedings of EuroVis and EuroGraphics)
Year | Paper |
---|---|
2020 | Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning |
Fairness, Accountability, and Transparency in Machine Learning (FAT/ML)
Year | Paper |
---|---|
2018 | Achieving Fairness through Adversarial Learning: an Application toRecidivism Prediction |
Association for the Advancement of Artificial Intelligence (AAAI)
Year | Paper |
---|---|
2019 | Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff |
2019 | Zero Shot Learning for Code Education:Rubric Sampling with Deep Learning Inference |
Neural Information Processing Systems (NeurIPS)
Year | Paper |
---|---|
2019 | On the Utility of Learning about Humans for Human-AI Coordination |
2015 | Deep Knowledge Tracing |
International Conference on Machine Learning (ICML)
Year | Paper |
---|---|
2015 | Learning Program Embeddings to Propagate Feedback |
Educational Data Mining (EDM)
Year | Paper |
---|---|
2015 | Tuning Peer Grading |
Proceedings of the National Academy of Sciences (PNAS)
Communications of the ACM (CACM)
Year | Paper |
---|---|
2018 | The Challenge of Crafting Intelligible Intelligence |
Distill
Year | Paper |
---|---|
2019 | AI Safety Needs Social Scientists |
2017 | Using Artificial Intelligence to Augment Human Intelligence |
arXiv
Year | Paper |
---|---|
2017 | Machine Teaching: A New Paradigm for Building Machine Learning Systems |
Courses
There are also some awesome course resources discussing Intelligent User Interface/ Human-AI interaction
School | Course | Lecturer |
---|---|---|
Carnegie Mellon University | Human-AI Interaction | Jeff Bigham and Joseph Seering |
Carnegie Mellon University | Software Engineering for AI-Enabled Systems (SE4AI) | Christian Kaestner |
Aalto University | Intelligent User Interfaces Studio | Kashyap Todi and Sunjun Kim |
Penn State University | Crowdsourcing & Crowd-AI Systems | Kenneth Huang |
University of Colorado Boulder | Human-centered Machine Learning | Chenhao Tan |
Stanford University | Designing AI to Cultivate Human Well-Being | Jennifer Aaker and Fei-Fei Li |
Georgia Tech | Data and Visual Analytics | |
Columbia University | Intelligent Decision Support: History, Paradigms, Applications | Lena Mamykina |
Curators
The repo is jointly contributed by researchers from different institutions, please refer to the contributor page.