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Michael J. Fell

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#small language model Open access Oct 2026

Pragmatic AI: building low-impact LLM tools for energy research impact

Extended abstract 3-063-26 Large language models (LLMs) provide a powerful means to search for and summarise content. However, their training and use is a rapidly growing driver of energy and resource use. In this presentation we describe the development of an LLM-based search tool for the UKRI Energy Demand Research C...

Thorin Daniel, Li-Rong Liu, Michael J. Fell et al. · 0 citations
Review Open access Aug 2026

Keep people in the loop: co-designing personal preference agents for energy flexibility

This talk will present work intended to mitigate the risk of exclusion of real human participation by using an innovative participatory co-design process to develop personal preference agents tailored to the domain of energy use and flexibility.

Michael J. Fell · 0 citations
Review Jul 2026

Co-design of LLM-based preference agents: participation may drive overtrust

It is argued that participation and process transparency can act as an"overtrust engine" that promotes trust while concealing systematic misalignment with potential structural consequences at scale.

Michael J. Fell · 0 citations

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