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Charlotte Young

2 papers hereh-index 2128 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI2

identity via Semantic Scholar / OpenAlex

most citedLevels of explainable artificial intelligence for human-aligned conversational explanations

120 citations · 122 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2022★ 2 cited

Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios

Francisco Cruz, Charlotte Young, Richard Dazeley +1

Explainable artificial intelligence is a research field that tries to provide more transparency for autonomous intelligent systems. Explainability has been used, particularly in re…

cs.AI2021★ 120 cited

Levels of explainable artificial intelligence for human-aligned conversational explanations

Richard Dazeley, Peter Vamplew, Cameron Foale +3

Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers fo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.