I am a PhD candidate in Science, Technology and Innovation Studies at the University of Edinburgh. I am currently looking at the social dynamics shaping the design of emotion recognition systems, as well as the data collection and curation practices involved in the creation of face datasets. My research sits at the intersection of STS and feminist studies and explores the social dimensions of computer vision technology.
Together with friends and colleagues Sarah Bennett (ECA), Vassilis Galanos (STIS), and Yazmin Morlet Corti (PIR), I am a core member of the Edinburgh Futures Institute-supported AI Ethics & Society network, and I am involved in the organization of the Critical Perspectives on Artificial Intelligence Ethics conference (CPAIE).
- PhD in Science, Technology and Innovation Studies, the University of Edinburgh, 2019 - onwards.
- MSc by Research in Science and Technology Studies, the University of Edinburgh, 2019.
- MSc in Philosophy, Università degli Studi di Torino, 2016.
- BA in Philosophy, Università degli Studi di Torino, 2013.
Awards and funding
- Edinburgh Futures Institute (EFI) Student Research Projects Award 2021
- Edinburgh Futures Institute (EFI) Student Research Projects Award 2020
- CAHSS Scholarship College Research Awards, 2019-2022.
- Economic and Social Research Council (ESRC) Award, 2019-2022 (offered).
- Highly Skilled Workforce Scholarship, 2018.
2020/2021, Semester 2, Tutor for History of Science 1 (STIS08005), School of Social and Political Science.
2020/2021, Semester 2, "Understanding AI Ethics and Society", Expert for System Design Project (INFR09032), School of Informatics.
Dr Morgan Currie
Dr Ewa Luger
Prof Robin Williams
Title: Coding the Face: Design Process and Social Dynamics of AI Emotion Recognition Technology (working title)
My PhD project explores the classification techniques underpinning the design of affective technologies, through a combination of qualitative interviews, participatory workshops, ethnographic observations, and document analysis. I am especially interested in technologies that analyze and categorize facial features with the aim of producing somehow meaningful knowledge about individuals. By adopting an ethnographic approach, I investigate practitioners’ sense-making of affective information, and how this information is produced in day to day design practices, negotiated across different field of expertise, and distributed along the the machine learning pipeline. My research seeks to understand how practitioners anticipate both the societal gains of this technology as well as its potential limitations and biases, in order that they be developed to avoid social harms.
Refereed journal articles (Italian)
Catanzariti, B., "Angelologia e burocrazia: tecnologie del potere amministrativo" in «Filosofia», Quarta Serie, Anno LXII, Mimesis, 2017, pp. 41-57.
Catanzariti, B., “Fighting Facial Recognition: Infrastructural Challenges in Anti-Surveillance Resistance", in Currie, M., J. Knox & C. McGregor (eds.). (forthcoming 2021). Data Justice & the Right to the City. University of Edinburgh Press.
Catanzariti, B., “Feeling Machines: Emotion Recognition in Personal Assistants”, in Goldschmidt, P., Haddow, G., and Mazanderani, F., ed. (2020) Uncanny Bodies. Edinburgh: Luna Press.
Currie, M, & Catanzariti, B. (2020). Data Politics: Drag, Deepfakes and the Taming of Technology, The New Real Magazine. 14 October.
Alongside my doctoral project, I have taken part in several research activities, including:
- May 2021 - present, Research Assistant, "It’s all about the Feelings… a Pilot Performance Project using Artificial Intelligence Sentiment Recognition", University of Edinburgh (PI: Dr Beverley Hood).
- Jun - Oct 2020, Research Assistant, "Edinburgh’s New Gold: Critical Takes on the Data Driven Innovation Program", Data Justice, University of Edinburgh (Co-Is: Dr Morgan Currie, Dr Jeremy Knox, and Dr Callum McGregor).
- Jan-Aug 2019 Research Assistant, IoT Governance and Ethics Action Group, University of Edinburgh, (PI Dr James Stewart, Prof Charles Raab).
Together with Sarah Bennett (ECA), I am working on a project called "Hidden Humans in the Loop: Unpacking Societal Challenges in Data Work", with funding from the Edinburgh Futures Institute (EFI Student Research Projects Award). The project investigates the structures and workflows characterising data practices (such as data-sourcing, cleaning, and labelling), particularly focusing on the points at which AI/ML practitioners interface with other workers in the course of data-work. Read more.