A Computational Model for Corruption Assessment
Abstract
Corruption afflicts public services world-wide and is universally considered undesirable. However, there is little prior work to formalize it so that it can be attacked effectively using computational (ICT) techniques. It is believed that trends like process (service) automation and open data help tackle corruption but little is known about why and when. In this work, we address this gap by (a) presenting a meta-model for agent-delivered services motivated by real case studies in corruption, (b) describing common patterns of corruption in such service process designs, (c) formalizing the patterns via a language that instantiates the meta-model, and (d) evaluating the formal patterns on new cases of corruption. We then discuss how the formal patterns help evaluate effectiveness of the various mechanisms for addressing corruption.
Cite
Text
Rajshree et al. "A Computational Model for Corruption Assessment." International Joint Conference on Artificial Intelligence, 2013. doi:10.1145/2516911.2516917Markdown
[Rajshree et al. "A Computational Model for Corruption Assessment." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/rajshree2013ijcai-computational/) doi:10.1145/2516911.2516917BibTeX
@inproceedings{rajshree2013ijcai-computational,
title = {{A Computational Model for Corruption Assessment}},
author = {Rajshree, Nidhi and Desai, Nirmit and Srivastava, Biplav},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2013},
pages = {49-54},
doi = {10.1145/2516911.2516917},
url = {https://mlanthology.org/ijcai/2013/rajshree2013ijcai-computational/}
}