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Professor in Responsible Artificial Intelligence
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Miriam Fernandez is a Professor of Responsible Artificial Intelligence at the Knowledge Media Institute (KMi), Open University (OU), UK. Her research agenda revolves around advancing Responsible AI, ensuring that technological innovation aligns with ethical principles and societal values. Her pioneering work spans diverse domains, from algorithmic transparency and fairness to the societal implications of AI deployment. By integrating cutting-edge AI techniques with a human-centred approach, she fosters solutions that prioritise social responsibility, transparency, and inclusivity. With a portfolio of more than 100 scientific articles in some of the best conferences and journals in her field, and having won numerous external grants supporting her research with over £2.5M, Professor Fernandez has significantly influenced the discourse in the field of technology development and its impact on society. Her commitment to education is demonstrated through her leadership of OUAnalyse (https://analyse.kmi.open.ac.uk/), a strategic initiative leveraging machine-learning methods for the early identification of students at risk. This technology, currently supporting the Open University's 200K student body, has been highly awarded for its transformative impact on student outcomes. Additionally, she serves on the organising committee behind HESPA's (The Higher Education Strategic Planners Association) Learning Analytics Interest group, facilitating knowledge sharing and best practices among organisations across the UK. Professor Fernandez is also Equality and Diversity Champion for both KMi and the OU.

Keys: Semantic Web, Information Retrieval, Web Science, Data Analytics

Team: Harith Alani, Vaclav Bayer, Geoffray Bonnin, Gregoire Burel, Jason Carvalho, Tracie Farrell, Olivia Hagen, Martin Hlosta, Joseph Kwarteng, John Lee, Alba Morales Tirado, Paul Mulholland, Angel Pavon Perez, Lara Piccolo, Zdenek Zdrahal

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Publications

Publications | Visit External Site for Details  

Herodotou, C., Carr, J., Shrestha, S., Comfort, C., Bayer, V., Maguire, C., Lee, J., Mulholland, P. and Fernandez, M. (2025) Prescriptive analytics motivating distance learning student action: A case study of a student-facing dashboard, LAK25: The 15th International Learning Analytics and Knowledge Conference (LAK 2025), Dublin, Ireland

Publications | Visit External Site for Details  

Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2024) Enhancing Hate Speech Annotations with Background Semantics, 27th European Conference on Artificial Intelligence (ECAI 2024) – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Santiago de Compostela, Spain

Publications | Visit External Site for Details  

Fernandez, M., Bellogín, A. and Cantador, I. (2024) Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation, Websci '24: 16th ACM Web Science Conference, Stuttgart, Germany

Publications | Visit External Site for Details Publications | doi 

Bayer, V., Mulholland, P., Hlosta, M., Farrell, T., Herodotou, C. and Fernandez, M. (2024) Co‐creating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education, British Journal of Educational Technology, pp. (Early access)

Publications | Visit External Site for Details  

Herodotou, C., Shrestha, S., Comfort, C., Fernandez, M., Andrews, H., Mulholland, P., Bayer, V., Maguire, C. and Lee, J. (2023) PVC-Challenges Response: A student facing dashboard for online undergraduate students

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