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researcher

Saba Esnaashari

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CY3
ORCID 0009-0004-5874-8270

identity via Semantic Scholar / OpenAlex

most citedGenerative AI is already widespread in the public sector

12 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CY2024★ 3 cited

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions

Vincent J. Straub, Youmna Hashem, Jonathan Bright +5

There is currently considerable excitement within government about the potential of artificial intelligence to improve public service productivity through the automation of complex…

cs.CY2024★ 12 cited

Generative AI is already widespread in the public sector

Jonathan Bright, Florence E. Enock, Saba Esnaashari +3

Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. Furthermore, unlike other types of…

cs.CY2023

Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review

Saba Esnaashari, Jonathan Bright, John Francis +3

Allocation of scarce resources is a recurring challenge for the public sector: something that emerges in areas as diverse as healthcare, disaster recovery, and social welfare. The…

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