Accepted Papers

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Orals

The Effect of an Algorithmic Tool on Child Welfare Decision Making: A Preliminary Evaluation
Marie-Pascale Grimon, Christopher Mills

Bayesian Persuasion for Algorithmic Recourse
Keegan Harris, Valerie Chen, Joon Kim, Ameet Talwalkar, Hoda Heidari, Steven Wu

Designing Defaults for School Choice
Amel Awadelkarim, Johan Ugander, Itai Ashlagi, Irene Lo

Posters

Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding
Benedikt Wagner, Artur Garcez

Improving Learning-to-Defer Algorithms Through Fine-Tuning
Naveen Raman, Michael Yee

Artificial Intelligence, Ethics, and Intergenerational Responsibility
Alicia von Schenk, Marie C Villeval, Victor Klockmann

Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models
Roozbeh Yousefzadeh, Jessica Mollick

Representational Denoising to Improve Medical Image Decision Making
Eeshan Hasan, Jennifer Trueblood, Quentin Eichbaum, Adam Seegmiller, Charles Stratton

Improving Human Decision-Making with Machine Learning
Hamsa Bastani, Osbert Bastani, Wichinpong Sinchaisri

Probabilistic Performance Metric Elicitation
Zachary Robertson, Hantao Zhang, Sanmi Koyejo

Assigning Credit to Human Decisions using Modern Hopfield Networks
Michael Widrich, Markus Hofmarcher, Vihang Patil, Angela Bitto, Sepp Hochreiter

Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit
Ion Stagkos Efstathiadis, Guilherme Paulino-Passos, Francesca Toni

Excited and Aroused: The Predictive Importance of Simple Choice Process Metrics
Steffen Q. Mueller, Patrick Ring, Maria Fischer

In Silico Manipulation of Human Cortical Computation Underlying Goal-directed Learning
Jaehoon Shin, Jee Hang Lee, Sang Wan Lee

Will We Trust What We Don’t Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI
Daehwan Ahn, Abdullah Almaatouq, Monisha Gulabani, Kartik Hosanagar

Catastrophe, Compounding & Consistency in Choice
Christopher Gagne, Peter Dayan

Leveraging Information about Background Music in Human-Robot Interaction
Elad Liebman, Peter Stone

Semiparametric Approaches for Decision Making in High-dimensional Sensory Discrimination Tasks
Stephen Keeley, Ben Letham, Chase Tymms, Michael Shvartsman

Integrating Machine Learning and a Cognitive Modeling of Decision Making
Taher Rahgooy, Jennifer Trueblood, Brent Venable

Nearest-neighbor is More Useful than Feature Attribution in Improving Human Accuracy on Image Classification
Giang Nguyen, Anh Nguyen

Deep Gaussian Processes for Preference Learning
Rex Chen, Norman Sadeh, Fei Fang

On the Value of ML Models
Fabio Casati, Pierre-André Noël, Jie Yang

Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis
J.D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson