Research and Development
Our main research themes aim to reduce the pain of compliance, increase the gain associated with AI deployments, and reduce the cost of AI Assurance. These are pursued in support of issues arising from PRIDAR work. Recent themes are are shown below
Design Research
Deployment Research
Assurance Research
- Framework For Change - Socio-Technical Framework for AI development
- CALMS - mitigating Bias and Risk of Harm in Large Language Models
- DTxAI - A method of reducing the risk of designing Digital Therapeutics using AI
- AutoPrevis - a method to automate pre-visualisations using GENAI tools
Deployment Research
- HAL - trained to guide users about potential hallucination in LLM dialogue
- PriorArt - a method to detect copyright infringements
- UXAI - NHS AI Agent Design and Testing
- AutoESG - trained to automate ESG evidence gathering and reporting
- Eli - trained to elicit discussion about AI Risks in line with the IDEA Protocol (due April 2024)
Assurance Research
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