270 citations · 752 across the 12 of their papers we have counts for
3 papers · 1 filter
Quantitative AI Risk Assessments: Opportunities and Challenges
David Piorkowski, Michael Hind, John Richards
Although AI systems are increasingly being leveraged to provide value to organizations, individuals, and society, significant attendant risks have been identified and have manifest…
Better Together? An Evaluation of AI-Supported Code Translation
Justin D. Weisz, Michael Muller, Steven I. Ross +5
Generative machine learning models have recently been applied to source code, for use cases including translating code between programming languages, creating documentation from co…
Evaluating a Methodology for Increasing AI Transparency: A Case Study
David Piorkowski, John Richards, Michael Hind
In reaction to growing concerns about the potential harms of artificial intelligence (AI), societies have begun to demand more transparency about how AI models and systems are crea…