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UCL Centre for Artificial Intelligence

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Working Groups

We have brought together experts in Generative AI, enabling them to collaborate on impactful projects and enterprises across a range of themes.

Diagram of AI Hub Working Groups - see text below for details

Here are our working groups and their leads:

Multimodal Models

Produce high performance open-source models and tools. Contribute to open-source GMs. Partner with leading providers. 

Leads: Lourdes Agapito (UCL), Yukun Lai (Cardiff), Pasquale Minervini (Edinburgh) 

Rights, Responsibilities & Fairness

Enabling a responsible AI ecosystem – with UKRI

Leads: Miguel Rodrigues (UCL) & Jack Stilgoe (UCL) 

Automation

Increase productivity to allow people to carry out tasks more efficiently. Ensure generations can be trusted and compliant with regulations.

Leads: David Barber (UCL) & Michael Wooldridge (Oxford) 

Gen biology

TBC

Lead: Magnus Rattray (Manchester) 

Molecules

Develop novel tailored AI solutions that the Molecule Making Hub (Cambridge) can use. 

Lead: Jose Miguel Hernandez Lobato (Cambridge) 

Healthcare

Cross-hub working group to combine deep technical competence of UCL hub with domain experience and data access if more applied hubs.

Lead: Aldo Faisal (Imperial), David Barber (UCL) 

Methodology

Cross-hub group with ProbAI (Lancaster) and foundations Reinforcement Learning Hub (Imperial) to contribute and keep up to date with latest developments in GMs.

Lead: Arthur Gretton (UCL)