Projects per year
Organisation profile
Organisation profile
The Human Centric AI Research Group distinguish itself from that pursued elsewhere via its emphasis in putting people at the heart of AI. Indeed, our central belief is that AI-technologies will only reach their potential, and be fully adopted by society, if the technical advances within AI are driven by the needs of the people who will benefit from them. That means not only do we need to develop core new AI technologies, but we insist that the utility of these technologies within a human environment is central to their development.
Our key strength includes:
- we develop new and innovative approaches to AI-based problem solving to ensure solutions are explainable, trusted and acceptable by those users who are ultimately responsible for the decisions
- we reverse the tables and rather than expect humans to fit around AI-systems, we ask how can AI fit into human-centric decision systems
- we close the gap between humans and AI-systems by extending the latter to cover the vital area of human intelligence in problem solving where current AI-systems perform poorly
- we build persistently autonomous systems that are able to act both reasonably and robustly in real-time, challenging environments
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Collaborations and top research areas from the last five years
Profiles
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Mohamed Elawady
- Computer And Information Sciences - Teaching Fellow
- Human Centric AI Research Group
- Computer Science Education Research
Person: Teaching Only
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Using AI for Tracking Systemic Racism in Historical Carceral Systems
Sanjurjo-Ramos, J. (Principal Investigator) & Moshfeghi, Y. (Co-investigator)
1/02/25 → 31/07/25
Project: Internally funded project
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An AI Integrated Metaheuristic Framework for Architectural Design Justification
Chen, Z. (Principal Investigator) & Dong, F. (CoPI)
28/10/24 → 27/10/27
Project: Internally funded project
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VisC: Causal Counterfactual visualisation for human causal decision making – A case study in healthcare
Dong, F. (Principal Investigator)
3/07/23 → 31/12/25
Project: Research
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Accelerating the discovery of high-mobility molecular semiconductors: a machine learning approach
Nematiaram, T., Lamprou, Z. & Moshfeghi, Y., 31 Jan 2025, (E-pub ahead of print) In: Chemical Communications. 4 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Aligning brain activity with advanced transformer models: exploring the role of punctuation in semantic processing
Lamprou, Z., Pollick, F. & Moshfeghi, Y., 16 Jan 2025, Ithaca, NY, 15 p.Research output: Working paper › Working Paper/Preprint
Open AccessFile27 Downloads (Pure) -
Customizable LLM-powered chatbot for behavioral science research
Lamprou, Z. & Moshfeghi, Y., 15 Jan 2025, Ithaca, NY, 4 p.Research output: Working paper › Working Paper/Preprint
Open AccessFile8 Downloads (Pure)
Prizes
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Honorary Senior Research Fellow, School of Computing Science, University of Glasgow
Moshfeghi, Y. (Recipient), Sept 2024
Prize: Appointment
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Activities
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Shaping Dementia Care with Generative AI
Rogers, C. (Host) & Moshfeghi, Y. (Host)
Oct 2024Activity: Public Engagement and Outreach › Public Events
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The Fourth Workshop on Multiple Input Modalities and Sensations for VR/AR Interactions (Event)
Zhao, Y. (Peer reviewer)
6 Oct 2024 → …Activity: Publication peer-review and editorial work types › Journal peer review
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Dementia in the Age of Gen-AI
Rogers, C. (Host) & Moshfeghi, Y. (Host)
27 Sept 2024Activity: Public Engagement and Outreach › Public Events