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INVITED ESSAY
Accepted: 22 October 2020 /Published online: 18 November 2020
#Springer Nature Switzerland AG 2020
International Journal of Community Well-Being (2020) 3:437–441
https://doi.org/10.1007/s42413-020-00100-8
*Marek Havrda
marek.havrda@goodai.com
1
GoodAI, Prague, Czech Republic
Artificial Intelligence’s Role in Community
Engagement within the Democratic Process
Marek Havrda
1
Abstract
This invited essay to the special issue, Intersections of Artificial Intelligence and
Community Well-being, discusses the potential of Artificial Intelligence (AI) for
community decision-making with the aim to improve public debate leading to better
outcomes in terms of community well-being. This AI-supported approach would also
allow for greater citizen participation in community decision-making regarding the
main decisions impacting well-being of communities by making fact-based public
debate more accessible to the lay public.
Keywords Artificial intelligence .Well-being .Community well-being .Citizens’
assemblies .Community engagement .Public deliberation
Today, communities and their political leaders have previously unimaginable access to
data, science-based facts, and scientific advice, as well as to insights generated by
decades of research into community well-being. However, communities and those who
represent communities make decisions that rarely take sufficient account of data, facts,
advice, and insights. Moreover, political leaders of communities often make decisions
that are not preceded by community engagement and well-informed public debate
about the future implications on a community’s well-being. There is immense potential
in Artificial Intelligence (AI) to help remedy the situation. To date the positive
contribution of AI in the public sector has been rather limited despite its transformative
potential (Misuraca and van Noordt 2020;Reisetal.2019;Engstrometal.2020). For
example, in the European Union, most of the AI used in the public sector is aimed to
improve the performance of public services (Misuraca and van Noordt 2020). Although
there is ongoing experimentation with the deployment of AI in many federal agencies
in the United States and elsewhere, a lot of effort is needed to take advantage of AI
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