Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/110595
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dingli, Alexiei | - |
dc.date.accessioned | 2023-06-12T09:53:41Z | - |
dc.date.available | 2023-06-12T09:53:41Z | - |
dc.date.issued | 2021-01 | - |
dc.identifier.citation | Dingli, A. (2021). The citizen twin : designing the future of public service using artificial intelligence. IPS Journal, 1, 20-39. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/110595 | - |
dc.description.abstract | Citizens are overwhelmed with the tsunami of data which engulfs them daily (Bawden and Robinson, 2009; Dingli and Seychell, 2015; Hemp, 2009). The promises of the information society fizzled out (Halal, 2008), and many organisations struggle to go through with their digital transformation (Barmuta et al., 2020; Gregersen, 2018; Khitskov et al., 2017). The information overload problem people face daily is sowing further confusion while making cooperation between individuals more difficult. In fact, in many cases, rather than lead to constructive dialogue, it is merely polarising opposing views and fuelling further friction (O’Callaghan, 2020; Seargeant and Tagg, 2019; Williams et al., 2015). People today rely on algorithms to view the world, but many find it challenging to build a coherent picture of reality and digest all this information. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute for the Public Service | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Artificial intelligence -- Government policy | en_GB |
dc.subject | Civil service -- Data processing | en_GB |
dc.subject | Digital twins (Computer simulation) | en_GB |
dc.subject | Public administration -- Data processing | en_GB |
dc.title | The citizen twin : designing the future of public service using artificial intelligence | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.publication.title | IPS Journal | en_GB |
Appears in Collections: | IPS Journal : Issue 1 : January 2021 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IPS20211A2.pdf | 5.34 MB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.