Wang, Y. orcid.org/0000-0003-1575-0245, Xiong, M. and Olya, H. orcid.org/0000-0002-0360-0744 (2020) Toward an understanding of responsible artificial intelligence practices. In: Bui, T.X., (ed.) Proceedings of the 53rd Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS 2020), 07-10 Jan 2020, Maui, Hawaii, USA. Hawaii International Conference on System Sciences (HICSS) , pp. 4962-4971. ISBN 9780998133133
Abstract
Artificial Intelligence (AI) is influencing all aspects of human and business activities nowadays. Although potential benefits emerged from AI technologies have been widely discussed in many current literature, there is an urgently need to understand how AI can be designed to operate responsibly and act in a manner meeting stakeholders’ expectations and applicable regulations. We seek to fill the gap by exploring the practices of responsible AI and identifying the potential benefits when implementing responsible AI practices. In this study, 10 responsible AI cases were selected from different industries to better understand the use of responsible AI in practices. Four responsible AI practices are identified, including governance, ethically design solutions, risk control and training and education and five strategies for firms who are considering to adopt responsible AI practices are recommended.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. Article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license https://creativecommons.org/licenses/by-nc-nd/4.0/. |
Keywords: | The Technical, Socio-Economic and Ethical Aspects of AI; artificial intelligence; corporate social responsibility; ethical concerns; responsible use of ai |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Jul 2020 07:00 |
Last Modified: | 19 Dec 2022 12:56 |
Published Version: | http://hdl.handle.net/10125/64352 |
Status: | Published |
Publisher: | Hawaii International Conference on System Sciences (HICSS) |
Refereed: | Yes |
Identification Number: | 10.24251/hicss.2020.610 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162719 |
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