I’m Priscylla Silva, a Ph.D. student at the University of São Paulo (Brazil) working at the intersection of Explainable Artificial Intelligence (XAI), Visual Analytics, and Responsible AI, under the supervision of Prof. Luis Gustavo Nonato. My research focuses on developing human-centered tools that support practitioners in interpreting, comparing, and selecting feature attribution methods, enabling more transparent and trustworthy AI decision-making across domains.

I spent one year as a visiting scholar at the Visualization and Data Analytics Research Center (VIDA) at New York University (NYU), where I collaborated with Prof. Claudio Silva on interactive systems for exploring disagreement among explanation methods.

My academic path integrates AI with education, usability, and policy. During my Master’s at the Federal University of Campina Grande, I designed an Intelligent Tutoring System that provides automated feedback for programming students, under the guidance of Prof. Joseana Macêdo Fechine and Prof. Evandro de Barros Costa. Earlier, during my undergraduate studies at the Federal University of Alagoas, I co-developed intelligent systems to teach Mathematics and Propositional Logic, which sparked my interest in using AI to support human learning and reasoning.

Today, my research also engages with issues of AI transparency, fairness, and governance, particularly in contexts where explainability is key for accountability. I’m passionate about creating tools and knowledge that bridge technical rigor with human values—empowering experts and non-experts alike to understand, trust, and shape the AI systems that impact their lives.