Intelligent Framework to Support Technology and Business Specialists in the Public Sector

Problem: The development of intelligent routines to support complex decision-making is not always straight-forward. In the public service the difficulties may be related to the abundance of available data sources and the number of legal standards to be met, in addition to the need for the incorporat...

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Bibliographic Details
Published in:IEEE access 2023-01, Vol.11, p.1-1
Main Authors: Pinheiro, Alvaro Farias, Santos, Wylliams Barbosa, De Lima Neto, Fernando Buarque
Format: Article
Language:English
Subjects:
Anomalies
Artificial intelligence
Bibliographies
Compliance in Public Sector
Computational intelligence
Decision making
Decision Support
Decision support systems
Domain Engineering
End users
Framework
Fraud
Legislation
Protocols
Public sector
Risk management
Systematics
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Summary:Problem: The development of intelligent routines to support complex decision-making is not always straight-forward. In the public service the difficulties may be related to the abundance of available data sources and the number of legal standards to be met, in addition to the need for the incorporation of transparency, auditability, standardization, and desirable reuse in the IT systems. Objective: This article presents the Domain Engineering process carried out to obtain a feature model for the implementation of a Framework that uses Artificial Intelligence for dealing with the governmental rules to support public decision-making. One highlight of the put forward framework is that it supports both, end users and IT people ( i.e ., experts in business and in technology), that are not experienced with intelligent techniques as well as it focuses on Compliance. Method: For this research, the Design Science Research Methodology method was used, sorting the work into the steps of the problem identification and motivation, the definition of goals, the design and development, the verification and validation of the experiments, and the communication of the results. Reference: A systematic review identifying the lack of an AI Framework in the Public Sector was carried out beforehand. Contributions: The research produced a Whitebox Framework aiming to supply recommendations for both groups of users based on solutions that have already been tested and applied to know problems in their respective areas, e.g ., anomaly detection, fraud identification, rule extraction, and risk management, among others focused on Compliance. Moreover, the framework was built so that it can be evolved by experts with due use.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3243195