PPPS'2023 - Proactive and Personalised Public Services
Searching for Meaningful Human Control in Algorithmic Government
Anastasija Nikiforova (University of Tartu)
N Nitesh (TU Delft - Information and Communication Technology)
Dirk Draheim (Tallinn University of Technology)
Kuldar Taveter (University of Tartu)
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Abstract
The future is likely to see an increase in the use of automated decision-making systems in the public sector, which employ Artificial Intelligence and, in particular, machine learning techniques, to enable more proactive and personalised delivery of public services. Proactive delivery can reduce the administrative burdens on citizens and government staff. While there is a small but growing body of literature that highlights the benefits of proactive public services, the implementation of such services is data intensive and can harm citizens beyond privacy concerns. Proactive service delivery requires high degrees of automated data processing using various data sources and algorithms that reduce the level of human control that both citizens and public officials have in verifying or correcting system errors. The purpose of this workshop is to initiate a discussion about proactive and personalised public services, discussing them and learning from the EGOV community about the practice of applying proactive and personalised services in different countries. This includes presenting an initial version of the developed framework for proactive and personalised public services, which is expected to provide further research directions.
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