Table Of ContentLecture Notes in Networks and Systems 568
Marvic Sciberras
Alexiei Dingli
Investigating
AI Readiness in
the Maltese Public
Administration
Lecture Notes in Networks and Systems
Volume 568
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Fernando Gomide, Department of Computer Engineering and Automation—DCA,
School of Electrical and Computer Engineering—FEEC, University of
Campinas—UNICAMP, São Paulo, Brazil
Okyay Kaynak, Department of Electrical and Electronic Engineering,
Bogazici University, Istanbul, Turkey
Derong Liu, Department of Electrical and Computer Engineering, University of
Illinois at Chicago, Chicago, USA
Institute of Automation, Chinese Academy of Sciences, Beijing, China
Witold Pedrycz, Department of Electrical and Computer Engineering, University of
Alberta, Alberta, Canada
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Marios M. Polycarpou, Department of Electrical and Computer Engineering,
KIOS Research Center for Intelligent Systems and Networks, University of Cyprus,
Nicosia, Cyprus
Imre J. Rudas, Óbuda University, Budapest, Hungary
Jun Wang, Department of Computer Science, City University of Hong Kong,
Kowloon, Hong Kong
The series “Lecture Notes in Networks and Systems” publishes the latest
developments in Networks and Systems—quickly, informally and with high quality.
Original research reported in proceedings and post-proceedings represents the core
of LNNS.
Volumes published in LNNS embrace all aspects and subfields of, as well as new
challenges in, Networks and Systems.
The series contains proceedings and edited volumes in systems and networks,
spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor
Networks, Control Systems, Energy Systems, Automotive Systems, Biological
Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems,
Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems,
Robotics, Social Systems, Economic Systems and other. Of particular value to
both the contributors and the readership are the short publication timeframe and
the world-wide distribution and exposure which enable both a wide and rapid
dissemination of research output.
The series covers the theory, applications, and perspectives on the state of the art
and future developments relevant to systems and networks, decision making, control,
complex processes and related areas, as embedded in the fields of interdisciplinary
and applied sciences, engineering, computer science, physics, economics, social, and
life sciences, as well as the paradigms and methodologies behind them.
Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago.
All books published in the series are submitted for consideration in Web of Science.
For proposals from Asia please contact Aninda Bose ([email protected]).
·
Marvic Sciberras Alexiei Dingli
Investigating AI Readiness
in the Maltese Public
Administration
Marvic Sciberras Alexiei Dingli
IDEA Academy Malta University of Malta
Mosta, Malta Msida, Malta
ISSN 2367-3370 ISSN 2367-3389 (electronic)
Lecture Notes in Networks and Systems
ISBN 978-3-031-19899-1 ISBN 978-3-031-19900-4 (eBook)
https://doi.org/10.1007/978-3-031-19900-4
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature
Switzerland AG 2023
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether
the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse
of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and
transmission or information storage and retrieval, electronic adaptation, computer software, or by similar
or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
protective laws and regulations and therefore free for general use.
The publisher, the authors, and the editors are safe to assume that the advice and information in this book
are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or
the editors give a warranty, expressed or implied, with respect to the material contained herein or for any
errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional
claims in published maps and institutional affiliations.
This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Contents
1 Introduction .................................................. 1
References .................................................... 2
2 AI and Its Wider Impact ....................................... 3
References .................................................... 5
3 Public Administration and Technology in Malta .................. 7
References .................................................... 8
4 AI Adoption .................................................. 11
References .................................................... 14
5 AI-Readiness ................................................. 17
References .................................................... 20
6 Research Purpose, Question and Design—Exploratory
Sequential Approach .......................................... 23
References .................................................... 24
7 Research Philosophy—Pragmatic Paradigm ..................... 25
7.1 Human Nature and Ontology .............................. 25
7.2 Epistemology ........................................... 26
7.3 Pragmatic Paradigm ..................................... 26
References .................................................... 26
8 Research Approach—Mixed-Methods Approach ................. 29
References .................................................... 29
9 Research Analysis—Triangulation Approach .................... 31
References .................................................... 32
10 Qualitative Research and Findings .............................. 33
10.1 Data Collection Instrument: Semi-structured Interviews ....... 33
10.2 Design of Interview Questions ............................ 33
10.3 Target Population—Purposive ............................. 34
v
vi Contents
10.4 Sampling—Total Population .............................. 34
10.5 Data Analysis—Inductive Thematic Analysis ............... 34
10.6 Research Credibility and Trustworthiness—TACT
Framework ............................................. 35
10.7 Qualitative Research Findings ............................. 38
References .................................................... 40
11 Quantitative Research ......................................... 43
11.1 Data Collection Tool: Survey ............................. 43
11.2 Design of Survey Questions .............................. 43
11.3 Target Population—Maltese Public Administration ........... 44
11.4 Sample—Total Population ................................ 44
11.5 Data Analysis—Graphical Interpretation .................... 44
11.6 Variables ............................................... 45
11.7 Reliability and Validity ................................... 45
11.8 Quantitative Research Findings ............................ 45
11.9 Analysis ............................................... 87
11.9.1 Introduction ................................... 87
11.9.2 Understanding AI ............................... 88
11.9.3 Policy and Procedures ........................... 90
11.9.4 Data .......................................... 91
11.9.5 Preparedness ................................... 94
11.9.6 Change What? ................................. 96
11.9.7 To Drive AI .................................... 99
11.9.8 In Demand .................................... 99
11.9.9 AI as an Asset .................................. 102
11.9.10 Addressing Risks ............................... 103
11.9.11 Future Applications of AI ........................ 103
11.9.12 Moving Forward ............................... 104
11.9.13 Conclusion .................................... 107
11.10 Conclusions and Recommendations ........................ 107
11.10.1 Conclusions ................................... 108
11.10.2 Recommendations .............................. 111
11.10.3 Future Research ................................ 112
References .................................................... 113
Appendix A: Consent form for Interviews ........................... 117
Appendix B: Interview Questions .................................. 119
Appendix C: Consent Form and Survey Questions ................... 123
Appendix D: Step-by-Step Breakdown of the Research Process
for Auditability Purposes .............................. 131
Contents vii
Appendix E: Excerpts for Overarching Theme 1:
Understanding AI .................................... 133
Appendix F: Excerpts for Overarching Theme 2: Policy
and Procedures ....................................... 137
Appendix G: Excerpts for Overarching Theme 3: Data ............... 141
Appendix H: Excerpts for Overarching Theme 4: Preparedness ....... 147
Appendix I: Excerpts for Overarching Theme 5: Change What? ...... 151
Appendix J: Excerpts for Overarching Theme 6: In Demand ......... 157
Appendix K: Excerpts for Overarching Theme 7: AI as an Asset ...... 167
Appendix L: Excerpts for Overarching Theme 8: Addressing Risks .... 169
Appendix M: Excerpts for Overarching Theme 9: Future
Applications of AI .................................... 171
Appendix N: Excerpts for Overarching Theme 10: Moving
Forward ............................................. 173
Bibliography ...................................................... 181
Abbreviations
AI Artificial Intelligence
AGI Artificial General Intelligence
ANI Artificial Narrow Intelligence
ASI Artificial Superintelligence
CIOs Chief Information Officers
DPO Data Protection Office
EU27 Refer to the 27 European Countries
ICT Information and Communications Technology
ICTs Information and Communication Technologists
IMU Information Management Unit
IT Information Technology
MAFA Ministry for Agriculture, Fisheries, Food and Animal Rights
MFED Ministry for Education
MFH Ministry for Health
MDIA Malta Digital Innovation Authority
MITA Malta Information Technology Agency
MTA Malta Tourism Authority
OPM Office of the Prime Minister
POYC Pharmacy of Your Choice
WEF World Economic Forum
ix
List of Figures
Fig. 2.1 Subfields of AI (Source Author’s representation) ............. 4
Fig. 9.1 Triangulation design: validating qualitative data model.
Source Adopted from [6] ................................ 32
Fig. 10.1 Qualitative research: the process of the inductive thematic
analysis. Source Author’s representation of this study’s
qualitative research ..................................... 35
Fig. 11.1 Age. Source Author’s representation of quantitative results .... 46
Fig. 11.2 Gender. Source Author’s representation of quantitative
results ................................................ 46
Fig. 11.3 Salary scale demographics. Source Author’s representation
of quantitative results ................................... 47
Fig. 11.4 Years employed in public administration. Source Author’s
representation of quantitative results ....................... 47
Fig. 11.5 What is artificial intelligence? Source Author’s
representation of quantitative results ....................... 48
Fig. 11.6 Are AI technologies already available in your ministry?
Source Author’s representation of quantitative results ......... 49
Fig. 11.7 Awareness of the AI national strategy. Source Author’s
representation of quantitative results ....................... 50
Fig. 11.8 As part of your role, how do you receive information?
Source Author’s representation of quantitative results ......... 51
Fig. 11.9 By collecting information this way, I find it difficult to do my
job. Source Author’s representation of quantitative results ..... 52
Fig. 11.10 By collecting information this way, I slow down as it is time
consuming. Source Author’s representation of quantitative
results ................................................ 52
Fig. 11.11 By collecting information this way, I do my job faster.
Source Author’s representation of quantitative results ......... 53
Fig. 11.12 Prefer information received on paper. Source Author’s
representation of quantitative results ....................... 53
xi
