Search results for "AI development"

showing 3 items of 3 documents

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

2019

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 industri…

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
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“This is Just a Prototype” : How Ethics Are Ignored in Software Startup-Like Environments

2020

Artificial Intelligence (AI) solutions are becoming increasingly common in software development endeavors, and consequently exert a growing societal influence as well. Due to their unique nature, AI based systems influence a wide range of stakeholders with or without their consent, and thus the development of these systems necessitates a higher degree of ethical consideration than is currently carried out in most cases. Various practical examples of AI failures have also highlighted this need. However, there is only limited research on methods and tools for implementing AI ethics in software development, and we currently have little knowledge of the state of practice. In this study, we expl…

transparencyAI developmentpracticesvastuullisuustekoälyartificial intelligenceeettisyysstartup-yrityksetläpinäkyvyyscase studyAI ethicsaccountabilityresponsibilityohjelmistokehitys
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AI Ethics in Industry: A Research Framework

2019

Artificial Intelligence (AI) systems exert a growing influence on our society. As they become more ubiquitous, their potential negative impacts also become evident through various real-world incidents. Following such early incidents, academic and public discussion on AI ethics has highlighted the need for implementing ethics in AI system development. However, little currently exists in the way of frameworks for understanding the practical implementation of AI ethics. In this paper, we discuss a research framework for implementing AI ethics in industrial settings. The framework presents a starting point for empirical studies into AI ethics but is still being developed further based on its pr…

transparencyFOS: Computer and information sciencesAI developmentComputingMilieux_THECOMPUTINGPROFESSIONresearch frameworkvastuullisuustekoälyartificial intelligenceGeneralLiterature_MISCELLANEOUSComputer Science - Computers and SocietyAI ethicsComputingMethodologies_PATTERNRECOGNITIONaccountabilityComputers and Society (cs.CY)responsibilityetiikkateollisuus
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