Accepted Papers
Machine Explanations and Human Understanding
Cacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Argumentative Reward Learning: Reasoning about Human Preferences
Francis Rhys Ward, Francesco Belardinelli, Francesca Toni
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
Diogo Leitao, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
How to Talk So Robots Will Learn: Instructions, Descriptions, and Alignment
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Mennell
Human-Machine Collaboration for Reusable and Scalable Models in Remote Sensing Imagery Analysis
Philipe A. Dias, Jacob Arndt, Jordan Bowman, Aaron Myers, Lexie Yang, Dalton Lunga
Perspectives on Incorporating Expert Feedback into Model Updates
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
Counterfactual Inference of Second Opinions
Nina L. Corvelo Benz, Manuel Gomez Rodriguez
A Human-Centric Assessment for AI
Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence
Predicting Human Similarity Judgments from Large Language Models
Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths
CrowdPlay: Crowdsourcing Demonstrations for Learning Human-AI Interaction
Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes
Elicit: A Framework for Human-in-the-Loop High-Precision Information Extraction from Text Documents
Bradley Butcher, Miri Zilka, Adrian Weller
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Philipp Spitzer, Niklas Kühl, Marc Goutier
Towards Effective Case-Based Decision Support with Human-Compatible Representations
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
Adaptive Out-of-Distribution Detection with Human-in-the-Loop
Heguang Lin, Harit Vishwakarma, Ramya Korlakai Vinayak
Learning to Play with Machines in Social Science Research: Bringing the Theory Back In
Giovanna Maria Dora Dore, Arya D. McCarthy
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khan Ngyuen, Yonatan Bisk, Hal Daumé III
Effects of Algorithmic Fairness Constraints on Human Hiring Decisions
Prasanna Parasurama, Panos Ipeirotis
Learning a Disentangled Feature Representation for Hidden Parameters in Reinforcement Learning
Chrisopher Reale, Rebecca Russell
Diverse Concept Proposals for Concept Bottleneck Models
Katrina Brown, Marton Gavasi, Finale Doshi-Velez
A Human-Centric Take on Model Monitoring
Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi
On the Calibration of Learning to Defer to Multiple Experts
Rajeev Verma, Daniel Barrejón, Eric Nalisnick
The Influence of Explainable Artificial Intelligence: Nuding Behaviour or Boosting Capability?
Matja Franklin
Bayesian Weak Supervision via an Optimal Transport Approach
Putra Manggala, Holger H. Hoos, Eric Nalisnick
A Taxonomy Characterizing Human and ML Predictive Decision Making
Liu Leqi, Charvi Rastogi, Ken Holstein, Hoda Heidari