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.
Tracking WHO reporting requests using hybrid AI
Andrea Giovanni Nuzzolese
;Francesco Poggi;
2024
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.File | Dimensione | Formato | |
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3680127.3680224.pdf
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Descrizione: Monica Palmirani, Andrea Giovanni Nuzzolese, Francesco Poggi, Jane Nicholson, andJorgeEstevez. 2024. TrackingWHOreportingrequestsusing hybrid AI. In 17th International Conference on Theory and Practice of Elec tronic Governance (ICEGOV 2024), October 01–04, 2024, Pretoria, South Africa. ACM,NewYork, NY,USA, 8pages. https://doi.org/10.1145/3680127.3680224
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