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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, , Lara Piccolo, Zdenek Zdrahal

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Publications

Publications | Visit External Site for Details  

Fernandez, M., Tirado, A., Pavon-Perez, A., Duddin, K., Zhang, M., Bakina, K., Bandara, A., Capdevila, R., Lazard, L. and Jurasz, O. (2025) Co-creating an Ontology of Online Gender-Based Harms: An Interdisciplinary Perspective, ISWC 2025 - The 24th International Semantic Web Conference, Nara, Japan

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Ghafourian, Y., Hanbury, A. and Knoth, P. (2025) Ranking To Learn: Human Experts, Search Engines, or LLMs for Learning Guidance, TPDL 2025: The 29th International Conference on Theory and Practice of Digital Libraries, Tampere, Finland

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Cancellieri, M., El-Ebshihy, A., Fink, T., Fröbe, M., Galuščáková, P., Goeuriot, L., Iommi, D., Keller, J., Knoth, P., Mulhem, P., Piroi, F., Pride, D. and Schaer, P. (2025) Extended Abstract of LongEval at CLEF 2025: Longitudinal Evaluation of IR Systems on Web and Scientific Data, 16th International Conference of the CLEF Association (CLEF 2025), Madrid, Spain

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Tsaneva, S., Dessì, D., Osborne, F. and Sabou, M. (2025) Knowledge graph validation by integrating LLMs and human-in-the-loop, Information Processing & Management, 62, Elsevier

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Cancellieri, M., Docekal, M., Pride, D., Gruenpeter, M., Douard, D. and Knoth, P. (2025) Interoperable verification and dissemination of software assets in repositories using COAR Notify, The 20th International Conference on Open Repositories, Chicago, Illinois, USA

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