6533b874fe1ef96bd12d63ee

RESEARCH PRODUCT

Governance of Ethical and Trustworthy Al Systems: Research Gaps in the ECCOLA Method

Ville VakkuriAgbese MamiaHeidi Vainio-pekkaIsomäki HannakaisaErika HalmeAlanen Hanna-kaisaMarianna JantunenJani AntikainenRebekah RousiKai-kristian Kemell

subject

FOS: Computer and information sciencesjärjestelmäsuunnitteluKnowledge managementAl governanceComputingMilieux_LEGALASPECTSOFCOMPUTINGtekoälyGeneralLiterature_MISCELLANEOUSData governanceComputer Science - Computers and SocietyAlComputers and Society (cs.CY)Health careInformation governanceEthicsbusiness.industryCorporate governanceeettisyysECCOLAMLComputingMethodologies_PATTERNRECOGNITIONTrustworthinessluottamusEthical concernsEthical AIetiikkabusinessAi systems

description

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.

yearjournalcountryeditionlanguage
2021-01-012021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
https://doi.org/10.1109/rew53955.2021.00042