Information
KMi is organising a series of biweekly seminars, given by internal and external speakers. Internal seminars are raising awareness about the research conducted in KMi and are fostering networking. External seminars are given by researchers from other institutions who are visiting KMi. The KMi seminars cover a wide range of topics, including Artificial Intelligence, Data Science, Semantic Technologies, Citizen Science, and more.
KMi invites external speakers to present their work to the lab. We also welcome approaches from researchers who are interested to present their work. Please contact either the KMi staff member who is working in your field, or the seminars coordinators: Angelo Salatino, Alexander Mikroyannidis, Rachel Coignac-Smith, and Nancy Pontika.
The seminars take place at the KMi Podium (Berrill Building, 4th Floor North) unless otherwise stated. They are also broadcasted for online participants.
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Future Events
Creative engagement and co-design for inclusion
This presentation explores the intersection of creativity, design and learning. Over the past decade, my research has focused on developing inclusive co-design methodologies that empower marginalised groups. Through a series of case studies, I...
Organisation: The Open University
Webcast time: 11:30
Webcast date: Tuesday 15 October 2024
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Shifting Power: Stories of Artificial Intelligence and Justice
In 2022, I received a UKRI Future Leaders Fellowship exploring the intersection of artificial intelligence and justice. Our research program has explored how global power asymmetries impact different parts of the AI pipeline, the dominant...
Organisation: Knowledge Media Institute
Webcast time: 11:30
Webcast date: Tuesday 29 October 2024
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Past Events
Are we there yet? Automating visual understanding (and research in AI)
This is my valedictory lecture marking my retirement from the post of Professor of Knowledge Media: Some say that one of the tricks for a long and auspicious career is to gain the ability to say no to things you don't like doing. It is my...
Organisation: The Open University
Webcast date: Tuesday 03 September 2024
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Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark
The SciQA benchmark for scientific question answering presents a challenging task for next-generation question-answering systems, where standard large language models often fall short. In this seminar, we will analyze the performance of...
Organisation: Department of Mathematics and Computer Science, University of Cagliari, IT
Webcast date: Tuesday 23 July 2024
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On the Peripheral - Design Praxis feeling the future paradigm
This abstract explores the potential of combining haptics technology with Augmented Reality (AR) and Extended Reality (XR) for a more inclusive and engaging learning experience. Traditional learning for STEM, applied disciplines are...
Organisation: The Open University
Webcast date: Tuesday 09 July 2024
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Building Trustworthy AI: Uncertainty Quantification and Failure Detection in Large Vision-Language Models
Although AI systems, especially LLMs, have been applied in various fields and achieved impressive performance, their safety and reliability are still a big concern. It is especially important for safety-critical tasks. One shared...
Organisation: Knowledge Media Institute
Webcast date: Tuesday 28 May 2024
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Artificial Intelligence for Literature Reviews: Opportunities and Challenges
Numerous tools have been developed to assist and partially automate the Systematic Literature Reviews (SLRs) process. The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving...
Organisation: Knowledge Media Institute, The Open University
Webcast date: Tuesday 21 May 2024
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Maven of the Month
We are also inviting top experts in AI and Knowledge Technologies to discuss major socio-technological topics with an audience that comprises both members of the Knowledge Media Institute, as well as the wider staff at The Open University. Differently from our seminar series, these events follow a Q&A format.