Event Participation/Organization

<p>Story relating to an event</p>

KMi’s Prof. Fernandez insightful presentation at WEBSCI’24: Tackling Misinformation Spread through Recommendation Algorithms

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Prof. Miriam Fernandez recently attended the prestigious WEBSCI’24, the 16th ACM Web Science Conference, where she presented her latest research paper titled “Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation.” In the digital age, recommendation algorithms play a crucial role in shaping the information we see online. These algorithms are designed to…

Who/What/When is After AI? 

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On Friday May 17th, the Shifting Power team in KMi, alongside Dr. Justin Hunt from Queen Mary University and Arts Council England, and Dr. Ben Sweeting from the Radical Research Methodologies group at the University of Brighton, held an online post-disciplinary symposium on artificial intelligence. The “After AI?” Symposium used the concept of “after” as…

KMi celebrated Mental Health Awareness week! 

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Mental health and wellbeing are vital aspects of our lives that often get overlooked in the hustle and bustle of our daily routines. During Mental Health Awareness Week, it’s an opportunity for us to reflect on the importance of taking care of our mental health and to explore the various ways we can maintain and…

Adaptive Education – Harnessing AI for Academic Progress

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KMi’s Senior Research Fellow Alexander Mikroyannidis has given a presentation at the workshop organised by Ulster University: Adaptive Education – Harnessing AI for Academic Progress. This workshop was dedicated to exploring the innovative and transformative role of Generative AI in education. This event has served as an international platform for sharing insights, research, and practical…

KMi’s Generative AI mini-Scotland Tour

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KMi’s John Domingue and Aisling Third have just completed a mini tour of Scotland, arranged in conjunction with OU in Scotland, which was a great success. Specifically, they gave two presentations on “Generative AI: Hopes and fears”, in Dumfries (at Easterbrook Hall) and in Edinburgh (at The Royal Society of Edinburgh). The Dumfries event was…

Transforming Education with Artificial Intelligence

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Ahead of interactive public events in Scotland exploring Artificial Intelligence (AI), Open University (OU) Professor of Computer Science John Domingue shares the latest developments in AI at the OU and beyond. Within the past decade or so Artificial Intelligence has come to the fore in higher education, with The Open University leading the way. Over…

Happy International Women’s Day 2024!

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KMi’s excellence in research and innovation would not be possible without the extraordinary women working and studying here. We invited the women of KMi to be featured in this update of our annual commemorative poster. The theme of International Women’s Day this year is “Inspire Inclusion”. Inclusivity is a guiding principle in everything we do,…

KMi is the organiser of three events for AI UK Fringe 2024

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During a sequence of events from March 4th to March 29th, 2024, AI UK Fringe assembles influential figures from academia within the UK’s AI landscape to showcase, present, and share advancements in their pioneering endeavors. Participants in our AI UK Fringe events will have the opportunity to connect with fellow professionals in their local community,…

AI UK Fringe 2024: Navigating the Future – AI’s Impact on Education

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The AI UK 2024 Fringe event aims to explore the transformative potential of Artificial Intelligence in education (AIEd), drawing inspiration from Bloom’s 1984 paper on personalized teaching. The event focuses on using AI to overcome socioeconomic barriers and provide personalized education on a large scale, aligning with the ethos of equality. The in-person workshop, scheduled…

AI for the Research Ecosystem: a KMi workshop at the AI UK Fringe 2024

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The “AI for the Research Ecosystem” (AI4RE) workshop highlights the rapid evolution of AI and its significant impact on the entire research process. Technologies like deep learning and large language models are poised to transform various stages of research, including study design, literature reviews, code design, data collection and analysis, dissemination, peer review, and research…