6533b82efe1ef96bd1293ec6

RESEARCH PRODUCT

Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study

Kai-kristian KemellVille VakkuriPekka Abrahamsson

subject

FOS: Computer and information sciences050101 languages & linguisticsAI developmentjärjestelmäsuunnitteluComputer sciencevastuullisuus02 engineering and technologytekoälyField (computer science)GeneralLiterature_MISCELLANEOUSläpinäkyvyysComputer Science - Computers and SocietyAI ethicsHealth careComputers and Society (cs.CY)0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesBaseline (configuration management)transparencybusiness.industry05 social sciencesSoftware developmentFormal methodsartificial intelligenceTransparency (behavior)accountabilityAccountabilitySystems design020201 artificial intelligence & image processingEngineering ethicsresponsibilitybehavioral software engineeringetiikkabusinessohjelmistokehitys

description

Artificial intelligence (AI) is becoming increasingly widespread in system development endeavors. As AI systems affect various stakeholders due to their unique nature, the growing influence of these systems calls for ethical considerations. Academic discussion and practical examples of autonomous system failures have highlighted the need for implementing ethics in software development. However, research on methods and tools for implementing ethics into AI system design and development in practice is still lacking. This paper begins to address this focal problem by providing elements needed for producing a baseline for ethics in AI based software development. We do so by means of an industrial multiple case study on AI systems development in the healthcare sector. Using a research model based on extant, conceptual AI ethics literature, we explore the current state of practice out on the field in the absence of formal methods and tools for ethically aligned design. peerReviewed

yearjournalcountryeditionlanguage
2019-06-28
10.1007/978-3-030-35333-9_24http://arxiv.org/abs/1906.12307