Our first guest for this new seminar series is Dr Dolores Romero Morales (Copenhagen Business School) talking about an Operations Research approach aimed at making AI/ML based algorithmic results more transparent and therefore more responsible.
Abstract
State-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) algorithms have become ubiquitous across industries due to their high predictive performance. However, despite their widespread deployment, these models are often criticized for their lack of transparency and accountability. Their black-box nature obscures the reasoning behind decisions, limiting trust and hindering their integration into critical, data-driven decision-making processes. Moreover, algorithmic decisions can perpetuate or even amplify societal biases, leading to unfair and discriminatory outcomes. This concern is especially pressing in high-stakes domains such as healthcare, criminal justice, and credit scoring, where unfair model behavior can significantly impact individuals' lives.
In this presentation, we show how Operations Research can play a central role in moving from accurate predictions to responsible data-driven decisions. In particular, we will illustrate how Operations Research can contribute to more responsible ML by enabling the training of models that balance predictive accuracy, transparency, and fairness.
Bio
Dolores Romero Morales is a Professor in Operations Research at Copenhagen Business School. Her areas of expertise include Data Science, Supply Chain Optimization and Revenue Management. In Data Science she investigates explainability/interpretability, fairness and visualization matters. In Supply Chain Optimization she works on environmental issues and robustness. In Revenue Management she works on large-scale network models. Her work has appeared in a variety of leading scholarly journals, including European Journal of Operational Research, Management Science, Mathematical Programming and Operations Research. Dolores has received research funding from the European Commission and national research councils. She has received various distinctions, such as the SEIO Medal for an outstanding contribution to the Operations Research discipline, and since January 2026, she is President-Elect of EURO - The Association of European Operational Research Societies.
Dolores joined Copenhagen Business School in 2014. Prior to coming to Copenhagen Business School, she was a Full Professor at University of Oxford (2003-2014) and an Assistant Professor at Maastricht University (2000-2003). She has a BSc and an MSc in Mathematics from Universidad de Sevilla and a PhD in Operations Research from Erasmus University Rotterdam.
Acknowledgements
Music
Title: First Take
Artist: Debajyoti Biswas and Michael O'Neill
Source: mis.aup3
License: CC BY-NC-SA 4.0
Cover Art
Title: Near O’Reilly Hall
Artist: Photo credit: Allen Higgins. Used with permission.
Source: Dolores_pod.pptx
License: CC BY-NC-SA 4.0
Podcast License
Design Talk (dot IE) CC BY-NC-SA 4.0
The license can be viewed at https://creativecommons.org/licenses/by-nc-sa/4.0
By taking part, you give permission for your voice to be recorded, for the recording to be edited, and for it to be posted and published as a podcast.
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