|  | 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|