Sylvie Delacroix

Professor Sylvie Delacroix (King’s College London) is Inaugural Jeff Price Chair in Digital Law. She is also a fellow at the Alan Turing Institute and a visiting professor at Tohoku University. Her work focuses on data & machine ethics, ethical agency and the role of habit within moral decisions.

For recent work on the data ecosystem that’s made Generative AI possible, the way it’s now put in jeopardy by those very tools and the lack of data empowerment, visit here. 

Talk Title

Large language models and the communication of morally-loaded, unquantifiable uncertainties

Talk Summary

Since LLMs can be used as conversational partners, the types of uncertainty they need to be able to convey are not limited to quantifiable, semantic or factual types. How LLMs relay morally-loaded unknowns will have a qualitative impact on the nature of future conversations. This talk not only draws attention to this hereto under-appreciated systemic risk. It also explores potential avenues towards a symbiotic learning environment where both the LLM and the user community continuously evolve in their understanding and communication of unquantifiable uncertainties. 

This is event is a part of “Responsible AI Lecture” series co-organised by I-X and Dyson School of Design Engineering, and chaired by Professor Rafael Calvo.