Journal article

Minds and machines special issue: ethics and artificial intelligence

Publication status:: Published

Peer review status:: Reviewed (other)

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APA Style

Boddington, P., Millican, P., & Wooldridge, M. (2017). Minds and machines special issue: ethics and artificial intelligence. Minds and Machines, 27(4), 569–574.

MLA Style

Boddington, P., et al. “Minds and Machines Special Issue: Ethics and Artificial Intelligence.” Minds and Machines, vol. 27, no. 4, Springer Netherlands, 2017, pp. 569–74.

Chicago Style

Boddington, P, P Millican, and M Wooldridge. 2017. “Minds and Machines Special Issue: Ethics and Artificial Intelligence.” Minds and Machines 27 (4): 569–74.
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Files:: Minds and Machines special edition editorial.pdf

(Preview, Accepted manuscript, pdf, 93.6KB, Terms of use)

Publisher copy:: 10.1007/s11023-017-9449-y

Authors

+ Boddington, P More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Computer Science
Role:: Author

+ Millican, P More by this author

Institution:: University of Oxford
Role:: Author

+ Wooldridge, M More by this author

Institution:: University of Oxford
Division:: MPLS Division
Department:: Computer Science
Role:: Author

Publisher:: Springer Netherlands
Journal:: Minds and Machines More from this journal
Volume:: 27
Issue:: 4
Pages:: 569-574
Publication date:: 2017-11-11
Acceptance date:: 2017-11-11
DOI:: 10.1007/s11023-017-9449-y
EISSN:: 1572-8641
ISSN:: 0924-6495

Keywords:: Editorial
Pubs id:: pubs:796474
UUID:: uuid:8ab0cbb5-be5f-48fc-a55d-3396f7a46d26
Local pid:: pubs:796474
Source identifiers:: 796474
Deposit date:: 2018-01-08

Terms of use

Copyright holder:: Springer Science+Business Media BV, part of Springer Nature
Copyright date:: 2017
Notes:: Copyright © 2017 Springer Science+Business Media B.V., part of Springer Nature. This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/s11023-017-9449-y

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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