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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.

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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., …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

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