Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method
Abstract
Advances in machine learning (ML) technologies have greatly improved Artificial Intelligence (AI) systems. As a result, AI systems have become ubiquitous, with their application prevalent in virtually all sectors. However, AI systems have prompted ethical concerns, especially as their usage crosses boundaries in sensitive areas such as healthcare, transportation, and security. As a result, users are calling for better AI governance practices in ethical AI systems. Therefore, AI development methods are encouraged to foster these practices. This research analyzes the ECCOLA method for developing ethical and trustworthy AI systems to determine if it enables AI governance in development processes through ethical practices. The results demonstrate that while ECCOLA fully facilitates AI governance in corporate governance practices in all its processes, some of its practices do not fully foster data governance and information governance practices. This indicates that the method can be further improved.
Keywords
Cite
@article{arxiv.2111.06207,
title = {Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method},
author = {Mamia Agbese and Hanna-Kaisa Alanen and Jani Antikainen and Erika Halme and Hannakaisa Isomäki and Marianna Jantunen and Kai-Kristian Kemell and Rebekah Rousi and Heidi Vainio-Pekka and Ville Vakkuri},
journal= {arXiv preprint arXiv:2111.06207},
year = {2021}
}
Comments
8 pages, 1 figure, 2 tables, IEEE 29th International Requirements Engineering Conference Workshops (REW)