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Michele Sevegnani

University of Glasgow

4 papers hereh-index 13383 citations35 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CY2
  • cs.LO2
affiliations
  • University of Glasgow
HomepageORCID 0000-0001-6773-9481
same name
  • Michele Sevegnani — 5 papers, h 4
  • Michele Sevegnani — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedResponsible AI in criminal justice: LLMs in policing and risks to case progression

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CY2026★ 1 cited

Responsible AI in criminal justice: LLMs in policing and risks to case progression

Muffy Calder, Marion Oswald, Elizabeth McClory-Tiarks +2

There is growing interest in the use of Large Language Models (LLMs) in policing, but there are potential risks. We have developed a practical approach to identifying risks, ground…

cs.LO2026

Introducing The Maximum Common Bigraph Problem

Kyle Burns, Michele Sevegnani, Ciaran McCreesh +1

Bigraph reactive systems offer a powerful and flexible mathematical framework for modelling both spatial and non-spatial relationships between agents, with practical applications i…

cs.CY2025

Mapping the Probabilistic AI Ecosystem in Criminal Justice in England and Wales

Evdoxia Taka, Temitope Lawal, Muffy Calder +4

Commercial or in-house developments of probabilistic AI systems are introduced in policing and the wider criminal justice (CJ) system worldwide, often on a force-by-force basis. We…

cs.LO2024

Practical Modelling with Bigraphs

Blair Archibald, Muffy Calder, Michele Sevegnani

Bigraphs are a versatile modelling formalism that allows easy expression of placement and connectivity relations in a graphical format. System evolution is user defined as a set of…

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