Tracking WHO reporting requests using hybrid AI

The United Nations agencies, like many other deliberative institutions, have the urgent need to track the decisions and obligations deliberated in their regulative acts. The AI combined with Formal ontology and LegalXML helps to cope with this task to track and monitor the provisions including mandates and relationships between other documents. This paper presents a hybrid AI methodology for detecting, extracting, annotating, and monitoring over time the provisions of the WHO. This knowledge is used for creating the agenda for the next official meetings of the Executive Board and World Health Assembly. The proposed system demonstrates the feasibility of tracking the so-called mandate provision inside the decisions and resolutions of WHO's governing bodies. The hybrid approach produces promising results that could be improved by using a web interface to capture the expertise of the end-users. The scenario is very relevant for deliberative bodies that need to track mandate provisions over time, to avoid repetition, missing reporting, and double deliberation.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1145/3680127.3680224
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35
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article

Tracking WHO reporting requests using hybrid AI

Monica Palmirani, Francesco Poggi, Andrea Giovanni Nuzzolese, Jennifer Nicholson et al.
1 citations
AI in Service Interactions
0.35
article

Tracking WHO reporting requests using hybrid AI

Monica Palmirani, Francesco Poggi, Andrea Giovanni Nuzzolese, Jennifer Nicholson, Jorge Estevez
article en
1 citations

Abstract

The United Nations agencies, like many other deliberative institutions, have the urgent need to track the decisions and obligations deliberated in their regulative acts. The AI combined with Formal ontology and LegalXML helps to cope with this task to track and monitor the provisions including mandates and relationships between other documents. This paper presents a hybrid AI methodology for detecting, extracting, annotating, and monitoring over time the provisions of the WHO. This knowledge is used for creating the agenda for the next official meetings of the Executive Board and World Health Assembly. The proposed system demonstrates the feasibility of tracking the so-called mandate provision inside the decisions and resolutions of WHO's governing bodies. The hybrid approach produces promising results that could be improved by using a web interface to capture the expertise of the end-users. The scenario is very relevant for deliberative bodies that need to track mandate provisions over time, to avoid repetition, missing reporting, and double deliberation.

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT), World Health Organization (CH), University of Bologna (IT)
Openalex Percentile: Top 31%
AI in Service Interactions
0.35
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