Digital poisons.
The article discusses the threats facing machine-learning or modern artificial-intelligence (AI) systems, particularly the cyber-attack called data poisoning. The attack involved modifying or adding extraneous information to AI data sets to make its algorithms learn harmful or undesirable behaviours...
| Publicado en: | Economist Vol. 447; no. 9341; pp. 68 - 70 |
|---|---|
| Formato: | Artículo |
| Publicado: |
Economist Newspaper Limited
4/8/2023
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=163027090&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 163027090 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00130613 ECO jtl: Economist issn: 00130613 maglogo: N pubinfo: dt: 4/8/2023 vid: 447 iid: 9341 pid: 161 pub: Economist Newspaper Limited artinfo: ui: 163027090 ppf: 68 ppct: 2 formats: tig: atl: Digital poisons. aug: su: Cyberterrorism Artificial intelligence Machine learning Algorithms Database management Computer hacking sug: subj: Cyberterrorism Artificial intelligence Data Processing, Hosting, and Related Services Machine learning Algorithms Database management Computer hacking ab: The article discusses the threats facing machine-learning or modern artificial-intelligence (AI) systems, particularly the cyber-attack called data poisoning. The attack involved modifying or adding extraneous information to AI data sets to make its algorithms learn harmful or undesirable behaviours. Also cited is how the rise of generative AI tools like ChatGPT and the image-making system DALL-E 2 makes data poisoning easier to implement. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|