Vol-3285
urn:nbn:de:0074-3285-8

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

AIxPA 2022
AI for Public Administration

Proceedings of 1st Workshop on AI for Public Administration
co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022)

Udine, Italy, November 28 - December 2, 2022.

Edited by

Pasquale Lops *
Pierpaolo Basile *
Lucia Siciliani *
Vincenzo Taccardi *
Marco Di Ciano
Nicola Lopane *

* University of Bari - Aldo Moro, Department of Computer Science, Bari, Italy
** InnovaPuglia S.p.A., Research and Development Department, Bari, Italy
*** Regione Puglia, Bari, Italy

Table of Contents

Preface
Summary: There were 6 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 5 as regular papers and 1 as short papers.

Invited Talks

What Can Machine Learning Do for the Public Procurement? (Abstract)
Rosa Meo, Roberto Nai, Paolo Pasteris
Artificial Intelligence and Public Procurement: Pilot Applications for the Apulia Regional Central Purchasing Body (Abstract)
Monica Messa, Marco Di Ciano, Giuseppe Marziale, Nicola Lopane, Antonio Scaramuzzi

Short Papers

Building Transparency and Robustness of AI/ADM Management in Public Sector 1-7
Iwona Karkliniewska

Full Papers

ArchiBERTo: a Hierarchization Quality Objectives NLP Tool in the Italian Architecture, Engineering and Construction Sector 8-25
Mirko Locatelli, Lavinia Chiara Tagliabue, Giuseppe Martino Di Giuda
Leveraging Digital Twins to Enhance Green Public Procurement in AECO Industry 26-38
Silvia Meschini, Giuseppe Martino Di Giuda, Lavinia Chiara Tagliabue
Multi-Label Classification of Bills from the Italian Senate 39-53
Andrea De Angelis, Vincenzo di Cicco, Giovanni Lalle, Carlo Marchetti, Paolo Merialdo
Evaluating Pre-Trained Transformers on Italian Administrative Texts 54-70
Serena Auriemma, Martina Miliani, Alessandro Bondielli, Lucia C. Passaro, Alessandro Lenci
Understanding Italian Administrative Texts: A Reader-Oriented Study for Readability Assessment and Text Simplification 71-87
Martina Miliani, Marco Senaldi, Gianluca Lebani, Alessandro Lenci

2022-11-21: submitted by Vincenzo Taccardi, metadata incl. bibliographic data published under Creative Commons CC0
2022-11-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|