Algorithmic decision making in public administration: A CSCW-perspective

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

In this paper, I propose a study of algorithmic decision making in public administration from a computer supported cooperative work (CSCW) perspective. Each day the public administration makes thousands of decisions with consequences for the welfare of its citizens. An increasing number of such decisions are supported or made by algorithmic decision making (ADM) systems, yet in the scientific and public sphere there is a growing concern that these algorithms become a 'black box' possibly containing hidden bias (Olsen et al., 2019), obstacles for human discretion (Rason, 2017), low transparency (Alkhatib and Bernstein, 2019) or trust (Mittelstadt et al. 2016). For example, ADM is currently tested in public administration in job placement for the prediction of a citizen's risk of long-term unemployment.

OriginalsprogEngelsk
TitelGROUP 2020 - Companion of the 2020 ACM International Conference on Supporting Group Work
ForlagAssociation for Computing Machinery
Publikationsdato2020
Sider15-24
ISBN (Elektronisk)9781450367677
DOI
StatusUdgivet - 2020
Begivenhed21st ACM International Conference on Supporting Group Work, GROUP 2020 - Sanibel Island, USA
Varighed: 6 jan. 20208 jan. 2020

Konference

Konference21st ACM International Conference on Supporting Group Work, GROUP 2020
LandUSA
BySanibel Island
Periode06/01/202008/01/2020
SponsorACM SIGCHI

ID: 240685549