Professor BERND STAHL Bernd.Stahl@nottingham.ac.uk
PROFESSOR OF CRITICAL RESEARCH IN TECHNOLOGY
Artificial intelligence for human flourishing – Beyond principles for machine learning
Stahl, B. C.; Andreou, A.; Brey, P.; Hatzakis, T.; Kirichenko, A.; Macnish, K.; Laulhé Shaelou, S.; Patel, A.; Ryan, M.; Wright, D.
Authors
A. Andreou
P. Brey
T. Hatzakis
A. Kirichenko
K. Macnish
S. Laulhé Shaelou
A. Patel
M. Ryan
D. Wright
Abstract
The technical and economic benefits of artificial intelligence (AI) are counterbalanced by legal, social and ethical issues. It is challenging to conceptually capture and empirically measure both benefits and downsides. We therefore provide an account of the findings and implications of a multi-dimensional study of AI, comprising 10 case studies, five scenarios, an ethical impact analysis of AI, a human rights analysis of AI and a technical analysis of known and potential threats and vulnerabilities. Based on our findings, we separate AI ethics discourse into three streams: (1) specific issues related to the application of machine learning, (2) social and political questions arising in a digitally enabled society and (3) metaphysical questions about the nature of reality and humanity. Human rights principles and legislation have a key role to play in addressing the ethics of AI. This work helps to steer AI to contribute to human flourishing.
Citation
Stahl, B. C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., Laulhé Shaelou, S., Patel, A., Ryan, M., & Wright, D. (2021). Artificial intelligence for human flourishing – Beyond principles for machine learning. Journal of Business Research, 124, 374-388. https://doi.org/10.1016/j.jbusres.2020.11.030
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 18, 2020 |
Online Publication Date | Dec 16, 2020 |
Publication Date | 2021-01 |
Deposit Date | Sep 19, 2023 |
Publicly Available Date | Sep 20, 2023 |
Journal | Journal of Business Research |
Print ISSN | 0148-2963 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 124 |
Pages | 374-388 |
DOI | https://doi.org/10.1016/j.jbusres.2020.11.030 |
Keywords | Ethics, Artificial intelligence, Big data, Human rights, Governance |
Public URL | https://nottingham-repository.worktribe.com/output/25363949 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0148296320307839?via%3Dihub |
Files
1-s2.0-S0148296320307839-main
(2.6 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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