1 citations · 1 across the 2 of their papers we have counts for
5 papers
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 Systems for Healthcare Delivery
Gennie Mansi, Mark Riedl
Many calls for explainable AI (XAI) systems in medicine are tied to a desire for AI accountability--accounting for, mitigating, and ultimately preventing harms from AI systems. Bec…
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…
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…