Other Open Access
Profiling the unemployed
Niklas, Jędrzej
Since 2014, job centres in Poland have been using an algorithmic decision-making system to categorize unemployed people and allocated different types of assistance. In the context of the global financial crisis in 2007, job centres have tried to become more efficient, among other things by introducing more individual advice by profiling the unemployed using an algorithm. However, this new tool created many challenges for a transparent decision-making and effective use of social rights. In this article, five lessons learned from profiling the unemployed are presented as a case of automated decisions in public administration.
Files
(126.3 kB)
| Name | Size | |
|---|---|---|
|
Niklas_Profiling the unemployed_HIIG.pdf
md5:121aa477d3024cec8d7283f6930f31e7 |
126.3 kB | Download |
67
33
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 67 | 67 |
| Downloads | 33 | 33 |
| Data volume | 4.2 MB | 4.2 MB |
| Unique views | 65 | 65 |
| Unique downloads | 28 | 28 |
Indexed in
- Publication date:
- January 16, 2018
- DOI:
-
- Keyword(s):
- Algorithmic decision-making Algorithms Artificial Intelligence Unemployed Transparency Public Administration Profiling
- License (for files):
- Creative Commons Attribution Share Alike 4.0 International