collaborators

10 papers

cs.HC2026

Drawing Out Legal Risks: Co-Designing with Lawyers to Predict and Manage Legal Uncertainties of Medical AI Tools

Gennie Mansi, Julia Kim, Michael Rosenbloom +1

While there's optimism around medical AI tools due to their abilities to adapt from user-to-user and across environments, these new abilities complicate how people and organization…

cs.HC2026

Concept Catalyst: Exploring Scrutable Interfaces to Structure K-12 Teacher Interactions with Generative AI

Gennie Mansi, Sunni Newton, Roxanne Moore +2

Purpose: This paper explores how to align AI-based tools with teachers' classroom needs by using scrutable interfaces -- interfaces that link an easily manipulable knowledge repres…

cs.HC2026

Chameleon Clippers: A Tool for Developing Fine Motor Skills in Remote Education Settings

Gennie Mansi, Ashley Boone, Sue Reon Kim +1

Art education plays a significant role in K-2 learners' physical and cognitive development. However, teachers struggle to translate in-person activities to remote settings and to g…

cs.HC2026

Creating Learning Scaffolds for Engineering Design Using Concept Catalyst

Madhuri Singh, Gennie Mansi, Mark Owen Riedl

K-12 teachers employ Engineering Design Challenges to help students learn about the Engineering Design Process hands-on. They use techniques like hard scaffolding questions to guid…

cs.HC2026

Evaluating Actionability in Explainable AI

Gennie Mansi, Julia Kim, Mark Riedl

A core assumption of Explainable AI (XAI) is that explanations are useful to users -- that is, users will do something with the explanations. Prior work, however, does not clearly…

cs.AI2025

Explainable Reinforcement Learning Agents Using World Models

Madhuri Singh, Amal Alabdulkarim, Gennie Mansi +1

Explainable AI (XAI) systems have been proposed to help people understand how AI systems produce outputs and behaviors. Explainable Reinforcement Learning (XRL) has an added comple…