AI-Based Public Policy Making: A New holistic, Integrated and “AI by Design” Approach Article Swipe

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Alessandro Amicone , Luca Marangoni , Alessandro Marceddu , Massimo Miccoli ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1109/dcoss-iot58021.2023.00087

<p><strong>Abstract:</strong></p>\n<div>Public policy development is becoming more and more challenging for public administrations and the recent events (first of all the Covid-19 Outbreak) demonstrated how an evidence-based approach is crucial for managing critical situations with short responses, fast adaptation, and citizens' support. The ultimate vision of data-driven policy making entails the use of Artificial Intelligence (AI) as a means of increasing the efficiency of the policy development and management process (i.e. going beyond development to adaptation and optimization) and boosting a more responsive, adaptive, intelligent, and citizen-centric governance. The cross-industry standard process for data mining, known as CRISP-DM, is the most widely-used open standard process model that describes common approaches used by AI experts. The paper presents how the H2020 project AI4PublicPolicy leverages this model to promote a new holistic, integrated, and “AI by design” approach for public policy making, providing the Virtualized Policy Management Environment (VPME) and the blueprints for organizational transformation. Moreover, the paper presents a practical use and validation of this approach in a real-life public policy making case.</div>

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Blueprint

Computer Science

Process (Computing)

Boosting (Machine Learning)

Corporate Governance

Knowledge Management

Artificial Intelligence

Mechanical Engineering

Law

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Blueprint Computer science Process (computing) Adaptation (eye) Boosting (machine learning) Corporate governance Process management Knowledge management Public policy Management science Artificial intelligence Engineering Political science Management Economics Operating system Optics Physics Mechanical engineering Law

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Type: article
Language: en
Landing Page: https://doi.org/10.1109/dcoss-iot58021.2023.00087
OA Status: green
Cited By: 3
References: 22
Related Works: 10
OpenAlex ID: https://openalex.org/W4387090036

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DOI: https://doi.org/10.1109/dcoss-iot58021.2023.00087

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Title: AI-Based Public Policy Making: A New holistic, Integrated and “AI by Design” Approach

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-06-01

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Authors: Alessandro Amicone, Luca Marangoni, Alessandro Marceddu, Massimo Miccoli

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Landing page: https://doi.org/10.1109/dcoss-iot58021.2023.00087

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Concepts: Blueprint, Computer science, Process (computing), Adaptation (eye), Boosting (machine learning), Corporate governance, Process management, Knowledge management, Public policy, Management science, Artificial intelligence, Engineering, Political science, Management, Economics, Operating system, Optics, Physics, Mechanical engineering, Law

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Cited by: 3

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