4th UK AI Conference · Nottingham
Co-authored published PMLR research on moral decoupling and supported research presentations across sustainability, biomedical imaging and socially relevant NLP.
Related recordCo-authored published PMLR research on moral decoupling and supported research presentations across sustainability, biomedical imaging and socially relevant NLP.
Related recordPractical course and industrial learning programme for visiting students, focused on workflow orchestration, grounded AI systems and human approval.
Related recordExplored AI as a co-pilot rather than autopilot, including privacy, copyright, fairness, education and human accountability.
Related record“Bridging Continents with Artificial Intelligence: Inclusive Pathways for Education and Work in Africa and Europe.”
Related recordSupported the programme and early-career researchers, with a focus on bias, interpretability, impartiality and responsible practice.
Related record“Ethical AI, Society and What We Have to Do with It?” Staff presentation on responsible AI and communication.
Related recordWhile advanced AI models, expanding data centers, and the growing influx of e-waste place unprecedented strains on energy and natural resources, technology remains a powerful tool for sustainability when guided by responsible innovation. Delivering on United Nations Sustainable Development Goal 12 (Responsible Consumption and Production) requires a unified effort across industries to apply circular economy principles such as leveraging AI and IoT for smart waste reduction, ensuring that rapid digital evolution actively mitigates rather than accelerates the climate crisis.
Related recordDemonstrated digital-trade and physical-assurance research at a Re-imagining the Future of Trade event.
Related recordAI is a co-pilot, not an autopilot.
From engaging young people with fairness, privacy and creativity, to supporting senior leaders with accountable implementation, the question is not simply what AI can do—but what we should do with it.