4 citations · 6 across the 11 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…
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…
Understanding the Impact of Physicians' Legal Considerations on XAI Systems
Gennie Mansi, Mark Riedl
Physicians are--and feel--ethically, professionally, and legally responsible for patient outcomes, buffering patients from harmful AI determinations from medical AI systems. Many h…
Implications of Current Litigation on the Design of AI Tools for Healthcare Delivery and Related Legal Frameworks
Gennie Mansi, Mark Riedl
The medical, legal, and technology communities often center physicians' role in preventing and mitigating harms from medical AI tools. We conduct an analysis of 31 U.S. legal cases…
Legally-Informed Explainable AI
Gennie Mansi, Naveena Karusala, Mark Riedl
Explanations for artificial intelligence (AI) systems are intended to support the people who are impacted by AI systems in high-stakes decision-making environments, such as doctors…
Recognizing Lawyers as AI Creators and Intermediaries in Contestability
Gennie Mansi, Mark Riedl
Laws play a key role in the complex socio-technical system impacting contestability: they create the regulations shaping the way AI systems are designed, evaluated, and used. Despi…
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions
Gennie Mansi, Mark Riedl
A core assumption of explainable AI systems is that explanations change what users know, thereby enabling them to act within their complex socio-technical environments. Despite the…