Pınar Barlas
Research Associate
Pınar is a Research Associate for algorithmic transparency, specializing in human-computer interaction and the societal effects of systems that use machine learning. Pınar has a BA in Cultural Studies & Communication and Gender Studies, an MA in Interaction Design, and experience in the industry as a User Experience and Service Designer. Pınar has been a part of the Transparency in Algorithms Multidisciplinary Research Group at CYENS Centre of Excellence since 2018. Their main research interests are at the intersection of social justice and technology, which is complemented by their activism outside of work. While contributing to all steps in research, Pınar brings social science expertise and qualitative analysis skills into the team.
Featured Publications
- Pınar Barlas, Kyriakos Kyriakou, Styliani Kleanthous, and Jahna Otterbacher. 2021. Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, New York, NY, USA, 357–367. DOI:https://doi.org/10.1145/3461702.3462567
- Pınar Barlas, Kyriakos Kyriakou, Olivia Guest, Styliani Kleanthous, and Jahna Otterbacher. 2021. To “See” is to Stereotype: Image Tagging Algorithms, Gender Recognition, and the Accuracy-Fairness Trade-off. Proc. ACM Hum.-Comput. Interact. 4, CSCW3, Article 232 (December 2020), 31 pages. DOI:https://doi.org/10.1145/3432931
- Styliani Kleanthous, Maria Kasinidou, Pınar Barlas, and Jahna Otterbacher. 2022. Perception of fairness in algorithmic decisions: Future developers’ perspective. Patterns, 3(1), ISSN 2666-3899. DOI:https://doi.org/10.1016/j.patter.2021.100380