M. (Mireia) Yurrita Semperena
M. (Mireia) Yurrita Semperena
Contact
Profiel
Mireia is a PhD candidate in Human-Computer Interaction at TU Delft where she works as part of the Knowledge and Intelligence Design team. She is also a Marie-Skłodowska Curie fellow at the DCODE European project. Her research interests lie at the intersection of Human-AI interaction and Algorithmic Fairness, Accountability, and Transparency. Mireia holds a MSc in Industrial (mechanical) Engineering and a BSc in Industrial Technology Engineering from the University of Navarra, Spain.
Publicaties
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2023
Disentangling Fairness Perceptions in Algorithmic Decision-Making
The Effects of Explanations, Human Oversight, and Contestability
M. Yurrita Semperena / Tim Draws / Agathe Balayn / Dave Murray-Rust / Nava Tintarev / Alessandro Bozzon -
2023
“☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms
Agathe Balayn / Mireia Yurrita / Jie Yang / Ujwal Gadiraju
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2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
Mireia Yurrita Semperena / Dave Murray-Rust / Agathe Balayn / Alessandro Bozzon
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Prijzen
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2023-8
Best student paper award at AIES 2023
The paper "“☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms" received the best paper award at the 2023 AAAI/ACM AIES Conference on AI, Ethics, and Society
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2023-4
Best paper award at CHI 2023
The paper "Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability" received the best paper award at the 2023 ACM CHI Conference on Human Factors in Computing Systems
2023 CHI Conference on Human Factors in Computing Systems
Involved in Research Project(s)
Mireia Yurrita Semperena is a PhD candidate at the Faculty of Industrial Design Engineering exploring design and engineering methods for developing algorithmic systems in a principled manner. As part of her PhD, Mireia is developing novel tools for shaping, testing and evolving machine behaviour based on approaches drawn from data science and HCI.
Education
- 2018 - 2020
Master of Science in Industrial (mech.) Engineering, University of Navarra (San Sebastian, Spain). Awarded with the "International Connecting Talent" Fellowship to work on her Master's Thesis at MIT Media Lab. - 2014 - 2018
Bachelor of Science in Industrial Technology Engineering, University of Navarra (San Sebastian, Spain).
Experience
- 2020 – 2021
Hydraulic Design Engineer, Ingeteam (San Sebastian, Spain) - 2019 – 2020
Visiting student, MIT Media Lab (Boston, USA) - 2015 – 2018
Student assistant, University of Navarra (San Sebastian, Spain)
Involved in the project(s)
