Inês Gomes’ Post

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PhD Candidate @ FEUP | Invited Assistant Professor | Data Scientist | Responsible AI

Excited to be heading to Seattle for #CVPR2024! If you’re attending, let’s connect! Come say 👋 , and join me on Tuesday, June 18th, at Summit 433 at the Responsible Generative AI workshop (https://lnkd.in/drGrRmgQ). I’ll be presenting my latest work during the poster session. In this research, we introduce a framework to explore the decision-making process of deep learning classifiers by generating, selecting, and interpreting representative data points at the decision boundary. The findings are promising, providing insightful samples that can be used to fill in model cards (https://lnkd.in/dz_EJPqg), therefore improving model reporting! Curious? Check out the details here: https://lnkd.in/dNyV8GxS “Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision Boundary” is co-authored by Luis Filipe Teixeira, Jan van Rijn, André Restivo, Carlos Soares and Moisés Santos as part of the projects Center for Responsible AI and AISym4MED - Horizon Europe. Looking forward to seeing you there!

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