Current state of practice on AI ethics implementation in the industry

This thesis consists of two articles discussing the current state of practice on artificial intelligence (AI) ethics implementation in the industry. As the usage of AI in systems affecting peoples’ everyday lives constantly increases, public demand for ethical consideration in AI development and dep...

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Main Author: Kultanen, Joni
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2020
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/73523
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author Kultanen, Joni
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Kultanen, Joni Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Kultanen, Joni Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Kultanen, Joni
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description This thesis consists of two articles discussing the current state of practice on artificial intelligence (AI) ethics implementation in the industry. As the usage of AI in systems affecting peoples’ everyday lives constantly increases, public demand for ethical consideration in AI development and deployment grows as well. AI ethics has been discussed in the academia for decades, but a consensus has yet to be found on what it means and contains. In this study, a framework for AI ethics research is constructed based on ethical principles frequently discussed in academic literature. Based on the framework, first, a multiple case study via semi-structured interviews in software companies developing AI systems is conducted, to gain a preliminary understanding on the AI ethics implementation in the industry. Second, a large-scale industrial survey is executed in order to achieve an in-depth understanding on the current state of practice on AI ethics implementation in the industry, and through larger sampling be able to generalize the results. The study found a clear gap between research and practice regarding the implementation of AI ethics. In particular, developers are not aware of the academic discourse on AI ethics and they consider AI ethics important only in principle. As a result, AI ethics principles are not implemented in practice. It was also discovered that the industry professionals do not utilize any tools or methods to implement AI ethics, and the industry does not have any common practices for the implementation of AI ethics either. In this study, means are suggested for narrowing the gap between research and practice for better implementation of ethics in AI system development.
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As the usage of\nAI in systems affecting peoples\u2019 everyday lives constantly increases, public demand\nfor ethical consideration in AI development and deployment grows as\nwell. AI ethics has been discussed in the academia for decades, but a consensus\nhas yet to be found on what it means and contains. In this study, a framework\nfor AI ethics research is constructed based on ethical principles frequently discussed\nin academic literature. Based on the framework, first, a multiple case\nstudy via semi-structured interviews in software companies developing AI systems\nis conducted, to gain a preliminary understanding on the AI ethics implementation\nin the industry. Second, a large-scale industrial survey is executed in\norder to achieve an in-depth understanding on the current state of practice on\nAI ethics implementation in the industry, and through larger sampling be able\nto generalize the results. 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spellingShingle Kultanen, Joni Current state of practice on AI ethics implementation in the industry accountability Tietojärjestelmätiede Information Systems Science 601 ennustettavuus vastuullisuus läpinäkyvyys etiikka tekoäly ohjelmistokehitys predictability responsibility (properties) transparency ethics artificial intelligence software development
title Current state of practice on AI ethics implementation in the industry
title_full Current state of practice on AI ethics implementation in the industry
title_fullStr Current state of practice on AI ethics implementation in the industry Current state of practice on AI ethics implementation in the industry
title_full_unstemmed Current state of practice on AI ethics implementation in the industry Current state of practice on AI ethics implementation in the industry
title_short Current state of practice on AI ethics implementation in the industry
title_sort current state of practice on ai ethics implementation in the industry
title_txtP Current state of practice on AI ethics implementation in the industry
topic accountability Tietojärjestelmätiede Information Systems Science 601 ennustettavuus vastuullisuus läpinäkyvyys etiikka tekoäly ohjelmistokehitys predictability responsibility (properties) transparency ethics artificial intelligence software development
topic_facet 601 Information Systems Science Tietojärjestelmätiede accountability artificial intelligence ennustettavuus ethics etiikka läpinäkyvyys ohjelmistokehitys predictability responsibility (properties) software development tekoäly transparency vastuullisuus
url https://jyx.jyu.fi/handle/123456789/73523 http://www.urn.fi/URN:NBN:fi:jyu-202101041004
work_keys_str_mv AT kultanenjoni currentstateofpracticeonaiethicsimplementationintheindustry