Reproducibility and Transparency in AI

Claudia Mazo

Dublin City University, Dublin

Resumen/Abstract

Artificial Intelligence (AI) is rapidly transforming science, industry, and society—but can we truly trust the systems we build? This lecture addresses one of the most pressing challenges in AI today: ensuring reproducibility and transparency in machine learning. From data collection to model deployment, small decisions can significantly affect outcomes, often leading to biased, non-reproducible, or opaque systems.Through real-world examples and practical insights, this talk explores the hidden pitfalls of the machine learning lifecycle and highlights why many AI systems fail to generalise or be reliably reproduced. It introduces the foundations of Explainable Artificial Intelligence (XAI), showing how we can move beyond “black-box” models toward interpretable, accountable, and trustworthy AI.

By the end of the session, attendees will gain a deeper understanding of how to design robust, transparent, and ethically responsible AI systems—skills that are essential for the next generation of researchers and practitioners shaping the future of AI.

Curriculum ponente

Dr. Claudia Mazo holds a double degree PhD in Engineering with an emphasis on Computer Sciences from the University of Valle (Cali-Colombia) and a PhD in Production and Computing from the University of León (León-Spain). From 2017 to 2018 she worked in Vicomtech (San Sebastian-Spain) in the eHealth and biomedical applications area. From 2018 to 2021 she holds a Marie Skłodowska-Curie Postdoctoral Fellowship at University College Dublin and Oncomark Ltd (Dublin-Ireland), gaining extensive experience in academia and industry. From 2021 to 2022 she was a research fellow at University College Dublin (Dublin-Ireland) working on AI to develop advanced diagnostic tools to identify those breast and prostate cancer patients with early-stage disease that can be spared aggressive treatment. She was a member of the ACM-FCA (Association for Computing Machinery - Future of Computing Academy) from 2020 to 2022. Since 2019, she has been an Ad Honorem lecturer at Universidad del Valle (Cali-Colombia) working on different research projects and student supervision. Since 2022, she has been an assistant professor at the School of Computing of Dublin City University (Dublin-Ireland).