by Stian Botnevik, Andrey Belinskiy, Edis Asotic Herman Stoud Platou, Thomas Søvik and Marija Slavkovik
Abstract:
The Norwegian National Strategy for Artificial Intelligence (NNSAI) published in 2020 includes seven principles of ethical AI. This paper explores whether those seven principles are stated in a clear enough way and are feasible to be satisfied by a specific AI system. We build an implementation of the Gale-Shapley algorithm to allocate kindergarten places in Bergen, Norway. The presented solution is then evaluated against the ethical principles from the NNSAI. We argue that it is difficult to respect all the ethical principles when implementing a solution to a matching problem.
Reference:
Addressing the ethical principles of the Norwegian National Strategy for AI in a kindergarten allocation system (Stian Botnevik, Andrey Belinskiy, Edis Asotic Herman Stoud Platou, Thomas Søvik and Marija Slavkovik), In Norsk Informatikkonferanse, 2020.
Bibtex Entry:
@article{NIK2020-a,
abstract = {The Norwegian National Strategy for Artificial Intelligence (NNSAI)
published in 2020 includes seven principles of ethical AI. This paper explores
whether those seven principles are stated in a clear enough way and are
feasible to be satisfied by a specific AI system. We build an implementation
of the Gale-Shapley algorithm to allocate kindergarten places in Bergen,
Norway. The presented solution is then evaluated against the ethical
principles from the NNSAI. We argue that it is difficult to respect all the
ethical principles when implementing a solution to a matching problem.},
author = {Stian Botnevik and Andrey Belinskiy and Edis Asotic Herman Stoud Platou and Thomas S{\o}vik and Marija Slavkovik},
journal = {Norsk Informatikkonferanse},
title = {Addressing the ethical principles of the Norwegian National Strategy for AI in a kindergarten allocation system},
url = {https://ojs.bibsys.no/index.php/NIK/article/view/832},
year = {2020},
bdsk-url-1 = {https://ojs.bibsys.no/index.php/NIK/article/view/832}}