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http://bura.brunel.ac.uk/handle/2438/29570Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Angelides, MC | - |
| dc.date.accessioned | 2024-08-19T15:38:52Z | - |
| dc.date.available | 2024-08-19T15:38:52Z | - |
| dc.date.issued | 2024-08-16 | - |
| dc.identifier | ORCiD: Marios Angelides https://orcid.org/0000-0003-3931-4616 | - |
| dc.identifier | bxae07 | - |
| dc.identifier.citation | Angelides, M.C. (2024) ‘From breaking to faking the code: Alan Turing’s Imitation Game latest upgrade for discerning Artificial Intelligence (AI)-generated deepfakes’, The Computer Journal, 0 (ahead of print), pp. 1 - 3. doi: 10.1093/comjnl/bxae078. | en_US |
| dc.identifier.issn | 0010-4620 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/29570 | - |
| dc.description | Data availability: No new data were generated or analysed in support of this research. | en_US |
| dc.description.abstract | Alan Turing developed a simple test for verifying whether machine or man. He did this with a vision that was decades ahead of the time but with the technology that was available to him at the time. Back in the time, the notion of AI was a future prospect, and not a real threat in any way to humanity. Roll the clock forward to today and AI is not a prospect but a stark reality and the threat to humanity, according to the sceptics, all but real. But how serious has the threat become? This paper investigates. | en_US |
| dc.description.sponsorship | None declared. | - |
| dc.format.extent | 1 - 3 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.publisher | Oxford University Press (OUP) on behalf of The British Computer Society | en_US |
| dc.rights | Copyright © The Author(s) 2024. Published by Oxford University Press on behalf of The British Computer Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.title | From breaking to faking the code: Alan Turing’s Imitation Game latest upgrade for discerning Artificial Intelligence (AI)-generated deepfakes | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1093/comjnl/bxae078 | - |
| dc.relation.isPartOf | The Computer Journal | - |
| pubs.publication-status | Published online | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 1460-2067 | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dc.rights.holder | The Author(s) | - |
| Appears in Collections: | Brunel Design School Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullTextpdf | Copyright © The Author(s) 2024. Published by Oxford University Press on behalf of The British Computer Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | 180.74 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
