Artificial Intelligence (AI), Internet of Things (IoT) and associated methods and tools support the vision of a data-driven, intelligent, personalised, ubiquitous government that can provide services of unparalleled quality to citizens and businesses. Bots, automation agents, self-learning systems, sensors, wearable devices, beacons and associated applications, individually or combined, can be the drivers of dramatic changes in the public sector, affecting all sectors and levels of administration, both at the back- and front-office. Within this context, this track aims at discussing opportunities and challenges, emerging practices, innovative approaches, case studies and more theoretical contributions that may shape future governments and societies.
#91 - Is the Data Fair? an Assessment of the Data Quality of Algorithmic Policing Systems by Emmanuel Sebastian Udoh
#114 - Towards a Methodological Approach to Evaluate the Impact of Artificial Intelligence Technologies in Public Services by Colin van Noordt, Gianluca Misuraca
#118 - Decision Support Grievance Redressal System Using Sentence Sentiment Analysis by Rama Krushna Das, Manisha Panda, Harekrishna Misra
#131 - A First Approach Towards Integrating Computational Argumentation in Cognitive Cities by Carlos Chesñevar, Maria Paula Gonzalez, Ana Maguitman, Elsa Estevez
#133 - Mapping Crime Descriptions to Law Articles Using Deep Learning by Marco E. Vink
#137 - Governments' Strategic Stance Toward Artificial Intelligence: An Interpretive Display on Europe by Gianluigi Viscusi, Marie-Valentine Florin, Aengus Collins