Vol-3284⫷ Vol-3285 ⫸Vol-3286
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 |