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Research Area 4
Human-Centred AI & Social Computing
Developing AI systems that serve human needs, from assistive technology to fair algorithms
This research area focuses on developing AI systems that prioritise human wellbeing and social benefit. The work spans assistive technologies for elderly care, understanding emerging social platforms, and ensuring fairness in algorithmic systems. These projects share a common thread: putting humans at the centre of AI development.
AI systems to support independent living and elderly care
Understanding user behaviour on emerging platforms
Detecting and mitigating bias in AI systems
Using household sensors and machine learning to detect anomalies in elderly residents' behaviour, providing early warning systems for carers. Partnership with Safehouse.
Analysing user connectivity and thematic engagement on X Spaces, exploring how synchronous audio interactions differ from text-based social media.
Investigating how gender-typed preferences distort recommendations, developing frameworks for detecting and mitigating demographic bias in recommender systems.
Research in this area benefits from collaboration with industry partners who provide real-world data and deployment contexts:
Projects in this area address fundamental questions about responsible AI development:
This research area continues to evolve with technology and society. Current and future directions include: