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https://ceur-ws.org/Vol-3285/xpreface.pdf
1st Workshop on AI for Public Administration
Pasquale Lops1 , Pierpaolo Basile1 , Lucia Siciliani1 , Vincenzo Taccardi1,* ,
Marco Di Ciano2 and Nicola Lopane3
1
University of Bari Aldo Moro, Bari, Italy
2
InnovaPuglia S.p.A., Bari, Italy
3
Regione Puglia, Bari, Italy
Abstract
This volume contains the papers presented at the 1st Workshop on Artificial Intelligence for Public
Administration (AIxPA), held as part of the 21th International Conference of the Italian Association
for Artificial Intelligence (AIxIA). The workshop took place on December 2nd at the venue of the main
conference, Udine. There were 6 papers submitted for peer-review. Out of these, 6 papers were accepted
for this volume, 5 as regular papers and 1 as short paper.
Keywords
Artificial Intelligence, Public Administration, E-Procurement, E-Government,
1. Preface
Public procurement in general, and innovation procurement in particular, is a strategic tool
at the disposal of economic development policies and represents a powerful instrument for
the investment of public funds. The EU’s 2021-2027 long-term budget and NextGenerationEU
Initiative have allocated 82.47 billion to Public Administrations. In this framework, Artificial
Intelligence technologies represent a new frontier for development and growth. The use of
AI by public administrations is growing and AI technologies could significantly improve the
effectiveness and efficiency of public administrations. AI is becoming a more mature technology
and public administrations are reflecting on how to move beyond pilots and adopt AI solutions
in their daily activities. The potential benefits of AI technologies for the public sector are
massive, but they are accompanied by some serious risks which must be avoided. The use of AI
within government comes with additional ethical considerations due to its unique role, legal
status, and expectations compared with the private sector. Indeed, several research areas can be
involved in this domain of applications, e.g.:
• Knowledge representation
• Automated reasoning
AIxPA 2022: 1st Workshop on AI for Public Administration, December 2nd, 2022, Udine, IT
*
Corresponding author.
$ pasquale.lops@uniba.it (P. Lops); pierpaolo.basile@uniba.it (P. Basile); lucia.siciliani@uniba.it (L. Siciliani);
vincenzo.taccardi@uniba.it (V. Taccardi); m.diciano@innova.puglia.it (M. D. Ciano); n.lopane@regione.puglia.it
(N. Lopane)
0000-0002-6866-9451 (P. Lops); 0000-0002-0545-1105 (P. Basile); 0000-0002-1438-280X (L. Siciliani)
© 2022 Copyright for the individual papers by the papers’ authors. Copyright 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).
CEUR
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073
CEUR Workshop Proceedings (CEUR-WS.org)
• Common sense reasoning
• Planning and Scheduling
• Searching
• Optimization
• Machine Learning
• Natural Language Processing
• Computer Vision
• Multi-Agent systems
• Robotics and Automation
• Connected and Automated vehicles
• AI Services
• AI Ethics
• AI Philosophy
Given the reasons highlighted above, we consider highly valuable to provide AIxIA partici-
pants with a forum to share their ideas about AI in the public sector and help them grow.
This workshop is also supported by InnovaPuglia S.p.a., which has always been committed to
the dissemination of ICT in the Apulian territory. The main aim is to provide a broad overview
of recent activities in the field of e-procurement and e-tendering in Italy and provide participants
a forum to share their ideas and make them grow.
1.1. Summary of the Workshop
The main area of interest discussed during the workshop was the domain of NLP (Natural
Language Processing) in the form of textual data, in fact 4 of the 6 accepted papers focused
their research on this topic. It is also relevant to note that 2 of the 6 papers proposed the use of
AI (Artificial Intelligence) applied to the field of AECO (Architecture, Engineering, Contrusion
and Operation). Below is a summary of each paper accepted for the workshop:
• Building Transparency and Robustness of AI/ADM Management in Public Sector:
The paper addresses possible problems and risks due to the spread and adoption of
artificial intelligence systems in many productive sectors and especially in the public
sector. It highlights what could be the main emerging issues and introduces possible best
practices to address the identified challenges.
• Multi-Label Classification of Bills from the Italian Senate:
In this work, the authors introduce a model for the classification of Italian Senate bills.
Further, the paper describes a new dataset of bills annotated with labels referring to
TESEO, the thesaurus used by the Italian Senate.
• ArchiBERTo: a hierarchization quality objectives NLP tool in the Italian Archi-
tecture, Engineering and Construction sector:
The paper proposes the application of a language model (Google BERT) specifically
trained for the elaboration of Design Guidance Documents (DIPs), pivotal documents
in the pre-design stages of the construction design and procurement process in Italy.
Specifically, the authors propose the use of the aforementioned model to elaborate and
translate the DIPs’ quality objective phrases into a hierarchical list of objectives and
criteria.
• Evaluating pre-trained Transformers on Italian administrative texts:
The paper starting point is that a language model specifically built for the Italian admin-
istrative domain is still lacking. The goal of the work presented in the paper is to explore
the use of generic models pre-trained on general text data for the Italian PA.
• Understanding Italian Administrative Texts: A Reader-oriented Study for Text
Readability and Simplification:
The paper proposes a study about the comprehension of administrative texts. The authors
take into account both the participants’ background and text simplification. They observe
that text simplification does not affect text comprehension, while participants’ background
(digitalization, education level, Italian proficiency) has some impact on the understanding
of administrative texts.
• Leveraging Digital Twins to enhance Green Public Procurement in AECO indus-
try:
The paper aims to define a methodology to develop Digital Twin Prototypes (DTPs) start-
ing from the bidding models. The main goal is to integrate several DTPs and Artificial
Intelligence to automatize the MEAT (Most Economic Advantageous Tender) procedure
and promote Green Public Procurement, providing an optimal and more objective data-
driven awarding system and criteria weighting.
2. Workshop Organization
Chairs:
• Pasquale Lops - Dept. of Computer Science, Univeristy of Bari Aldo Moro, Bari, Italy
• Pierpaolo Basile - Dept. of Computer Science, Univeristy of Bari Aldo Moro, Bari, Italy
• Lucia Siciliani - Dept. of Computer Science, Univeristy of Bari Aldo Moro, Bari, Italy
• Vincenzo Taccardi - Dept. of Computer Science, Univeristy of Bari Aldo Moro, Bari, Italy
• Marco Di Ciano - Dept. Research and Development, Innovapuglia S.p.A., Bari, Italy
• Nicola Lopane - Regione Puglia, Bari, Italy
Proceeding Chairs:
• Vincenzo Taccardi - Dept. of Computer Science, Univeristy of Bari Aldo Moro, Bari, Italy
Web Chairs:
• Lucia Siciliani - Dept. of Computer Science, Univeristy of Bari Aldo Moro, Bari, Italy
Program Committee:
• Fabio Gasparetti - Roma Tre University, Italy
• Maurizio Lenzerini - Sapienza University of Rome, Italy
• Pietro Leo - IBM Executive Architect - IBM Italy CTO for Big Data Analytics & Watson, Italy
• Giuseppe Marziale - Regione Puglia, Italy
• Noemi Mauro - University of Torino, Italy
• Paolo Merialdo - Roma Tre University, Italy
• Lucio Narducci - Polytechnic University of Bari, Italy
• Marco Polignano - Department of Computer Science, University of Bari Aldo Moro, Italy
• Giuseppe Sansonetti - Roma Tre University, Italy
• Giovanni Semeraro - Department of Computer Science, University of Bari Aldo Moro, Italy
2.1. Website
All workshop material including schedule and news are available on the workshop website at
https://aixpa.github.io/.
3. Table of Contents
The Program Committee (PC) received a total of 6 submissions. Each paper was peer-reviewed
by at least three PC members, by following a single-blind reviewing process. The committee
decided to accept 6 papers: 5 regular papers (i.e., 12+ pages), 1 short paper.
Invited Talks
• Rosa Meo, Roberto Nai, Paolo Pasteris.
What Can Machine Learning Do for the Public Procurement?
• Monica Messa, Marco Di Ciano, Giuseppe Marziale, Nicola Lopane, Antonio Scaramuzzi.
Artificial Intelligence and Public Procurement: Pilot Applications for the Apulia Regional
Central Purchasing Body
Short Papers
• Iwona Karkliniewska.
Building Transparency and Robustness of AI/ADM Management in Public Sector
Full Papers
• Andrea De Angelis, Vincenzo di Cicco, Giovanni Lalle, Carlo Marchetti and Paolo Merialdo.
Multi-Label Classification of Bills from the Italian Senate
• Mirko Locatelli, Lavinia Chiara Tagliabue and Giuseppe Martino Di Giuda.
ArchiBERTo: a hierarchization quality objectives NLP tool in the Italian Architecture,
Engineering and Construction sector
• Serena Auriemma, Martina Miliani, Alessandro Bondielli, Lucia C. Passaro and Alessandro
Lenci.
Evaluating pre-trained Transformers on Italian administrative texts
• Martina Miliani, Marco Senaldi, Gianluca Lebani and Alessandro Lenci.
Understanding Italian Administrative Texts: A Reader-Oriented Study for Readability
Assessment and Text Simplification
• Silvia Meschini, Giuseppe Martino Di Giuda and Lavinia Chiara Tagliabue.
Leveraging Digital Twins to enhance Green Public Procurement in AECO industry