The effective and ethical development of artificial intelligence: An opportunity to improve our wellbeing [Input paper on Defence, Security and Emergency Response]
dc.contributor.author | Steff, Reuben | en_NZ |
dc.contributor.author | Burton, Joe | en_NZ |
dc.date.accessioned | 2019-10-29T01:54:23Z | |
dc.date.available | 2019-07-30 | en_NZ |
dc.date.available | 2019-10-29T01:54:23Z | |
dc.date.issued | 2019 | en_NZ |
dc.description.abstract | AI has the potential to act as a technological enabler of the New Zealand Defence Force (NZDF) across virtually the entire range of platforms and systems, with human-AI teaming eventually becoming the norm. This will have implications for intelligence collection and analysis, logistics, cyberspace operations, command and control, and AI-enabled robotic autonomy. Additionally, at the international level, it will have implications for military, information and economic superiority.¹These changes will require new skills across the NZDF to harness advances in AI, with training doctrine, recruitment and organisation structures having to adjust as a result.² | |
dc.format.mimetype | application/pdf | |
dc.identifier.citation | Steff, R., & Burton, J. (2019). The effective and ethical development of artificial intelligence: An opportunity to improve our wellbeing [Input paper on Defence, Security and Emergency Response]. internet publication, Australian Council of Learned Academies. | en |
dc.identifier.uri | https://hdl.handle.net/10289/13051 | |
dc.language.iso | en | |
dc.publisher | Australian Council of Learned Academies | en_NZ |
dc.relation.uri | https://acola.org/wp-content/uploads/2019/07/acola-ai-input-paper_defence-security-and-emergency-response_steff-burton.pdf | en_NZ |
dc.rights | This article is licensed under a Creative Commons – Attribution – Non-Commercial 4.0 International (CC BY-NC 4.0) licence. | |
dc.title | The effective and ethical development of artificial intelligence: An opportunity to improve our wellbeing [Input paper on Defence, Security and Emergency Response] | en_NZ |
dc.type | Internet Publication | |
pubs.elements-id | 240723 | |
pubs.organisational-group | /Waikato | |
pubs.organisational-group | /Waikato/2024 PBRF | |
pubs.organisational-group | /Waikato/DASL | |
pubs.organisational-group | /Waikato/DASL/2024 PBRF - DASL | |
pubs.organisational-group | /Waikato/DASL/SSSI | |
pubs.organisational-group | /Waikato/DASL/SSSI/2024 PBRF - SSSI | |
pubs.organisational-group | /Waikato/DASL/SSSI/PSPP | |
pubs.publication-status | Published online | en_NZ |
pubs.publisher-url | https://acola.org/wp-content/uploads/2019/07/hs4_artificial-intelligence-report.pdf | en_NZ |
pubs.start-date | 2019-07-30 | en_NZ |
pubs.user.info | Steff, Reuben (rsteff@waikato.ac.nz) | |
uow.verification.status | verified |
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