Paper: Reasoning About Reasoning: Towards Informed and Reflective Use of LLM Reasoning in HCI
A structured worksheet that supports critical reflection on how LLM reasoning is identified, framed, executed, and evaluated in HCI research and practice.
Paper: Argument-Based Consistency in Toxicity Explanations of LLMs (EACL '26)
A codebase with a suite of metrics for assessing multiple forms of logical consistency in LLM-generated free-form explanations of harmful content.
Paper: Talking About the Assumption in the Room (CHI '25)
A methodological framework that formalizes the articulation of implicit assumptions in AI workflows, making them explicit, inspectable, and contestable.
Paper: Towards a Non-Ideal Methodological Framework for Responsible ML (CHI '24)
A methodological framework and visualizer for systematically mapping abstract ethical values and concrete technical interventions in AI.
Paper: Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations (FAccT '20)
Codebase to generate a set of counterfactual explanations for any Machine Learning model.