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Tracie Farrell is a Research Fellow at the Open University and recipient of the UKRI Future Leaders Fellowship (Round 6). Her transdisciplinary, mixed methods research explores the impact of Artificial Intelligence on society, including impacts on people, their communities, and the wider ecosystems in which they live. Before her academic career, Tracie worked for 18 years in the non-formal education sector on issues related to human rights, gender, leadership and citizenship.

Keys: artificial intelligence, queer theories, intersectional feminisms, social justice

Team: Venetia Brown, Retno Larasati

News

10 Jul 2023


10 Jul 2023


20 Jun 2023


20 Jun 2023


09 May 2023

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Publications

Publications | Visit External Site for Details  

Kwarteng, J., Farrell, T., Third, A. and Fernandez, M. (2023) Annotators' Perspectives: Exploring the Influence of Identity on Interpreting Misogynoir, ASONAM 2023: The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Kusadasi, Turkey

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Mensio, M., Burel, G., Farrell, T. and Alani, H. (2023) MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts' Sharing of Misinformation, UMAP '23: 31st ACM Conference on User Modeling, Adaptation and Personalization, Limassol Cyprus

Publications | Download PDF Publications | Visit External Site for Details  

Farrell, T. and Mostéfaoui, S. (2023) False Hopes in Automated Abuse Detection (Short Paper), HHAI-WS 2023: Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence (HHAI), Munich, Germany

Publications | Visit External Site for Details  

Kwarteng, J., Farrell, T., Third, A., Burel, G. and Fernandez, M. (2023) Understanding Misogynoir: A Study of Annotators' Perspectives, 15th ACM Web Science Conference 2023 (WebSci ā€™23), Evanston, TX, USA

Publications | Visit External Site for Details Publications | doi 

Farrell, T., Alani, H. and Mikroyannidis, A. (2022) Mediating learning with learning analytics technology: guidelines for practice, Teaching in Higher Education, pp. 1-21

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Latest Seminar
Dr. Siān Lindley
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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