Abstract
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.
| Original language | English |
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| Title of host publication | GROUP 2020 - Companion of the 2020 ACM International Conference on Supporting Group Work |
| Publisher | Association for Computing Machinery |
| Publication date | 2020 |
| Pages | 15-24 |
| ISBN (Electronic) | 9781450367677 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 21st ACM International Conference on Supporting Group Work, GROUP 2020 - Sanibel Island, United States Duration: 6 Jan 2020 → 8 Jan 2020 |
Conference
| Conference | 21st ACM International Conference on Supporting Group Work, GROUP 2020 |
|---|---|
| Country/Territory | United States |
| City | Sanibel Island |
| Period | 06/01/2020 → 08/01/2020 |
| Sponsor | ACM SIGCHI |
Keywords
- Algorithmic decision making
- Casework
- Civic participation
- Collaborative work
- Public administration
- Transparency
- Trust