Matches in SemOpenAlex for { <https://semopenalex.org/work/W2771101071> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2771101071 abstract "The potential uses of machine learning and artificial intelligence in the cyber security domain have had a recent surge of interest. Much of the research and discussions in this area primarily focuses on reactive uses of the technology such as enhancing capabilities in incident response, aiding in the analysis of malware or helping to automate defensive positions across networks. In this paper, the authors present an overview of machine learning as an enabler to artificial intelligence and how such technology can be used within the military and cyber warfare domain. This represents a shift in focus from commercial, civilian machine learning applications that include; self-driving vehicles, speech/image/face recognition, fraud prevention, the optimisation of web searches, and so forth. While the underlying technological process remain, what is altered is the focus of application; i.e., applying machine learning to create Intelligent Virtual Assistants for the battlefield, automated scanning of satellite imagery to detect specific vehicle types, automating the selection of attack vectors and methods when conducting offensive cyber warfare, etc. machine learning solutions offer the potential to assist a Commander make decisions in real-time that are informed by the accumulated knowledge of hundreds of previous engagements and exercises that are assessed at computational speeds. With these potential use cases in mind, the authors highlight some of the legal and ethical issues that the application of weapons enhanced with artificial intelligence, machine learning and automated processes. As the authors highlight, however, there are conflict views over the ethics of weaponising these technologies. Critics question the compliance with International Humanitarian Law of automated weapon systems the exclude human judgment, charging them with threatening our fundamental right to life and the principle of human dignity. Conversely, others view this progress in weapon development as inevitable, whereby attempts to ban autonomous weapon systems would be both premature and insupportable." @default.
- W2771101071 created "2017-12-22" @default.
- W2771101071 creator A5007091609 @default.
- W2771101071 creator A5013365958 @default.
- W2771101071 creator A5054267057 @default.
- W2771101071 creator A5058505328 @default.
- W2771101071 creator A5084979881 @default.
- W2771101071 date "2017-09-11" @default.
- W2771101071 modified "2023-09-26" @default.
- W2771101071 title "Artificial intelligence within the military domain and cyber warfare" @default.
- W2771101071 cites W1533821233 @default.
- W2771101071 cites W2095852873 @default.
- W2771101071 cites W2500936479 @default.
- W2771101071 cites W2606712748 @default.
- W2771101071 hasPublicationYear "2017" @default.
- W2771101071 type Work @default.
- W2771101071 sameAs 2771101071 @default.
- W2771101071 citedByCount "0" @default.
- W2771101071 crossrefType "journal-article" @default.
- W2771101071 hasAuthorship W2771101071A5007091609 @default.
- W2771101071 hasAuthorship W2771101071A5013365958 @default.
- W2771101071 hasAuthorship W2771101071A5054267057 @default.
- W2771101071 hasAuthorship W2771101071A5058505328 @default.
- W2771101071 hasAuthorship W2771101071A5084979881 @default.
- W2771101071 hasConcept C110875604 @default.
- W2771101071 hasConcept C111919701 @default.
- W2771101071 hasConcept C127413603 @default.
- W2771101071 hasConcept C134306372 @default.
- W2771101071 hasConcept C136764020 @default.
- W2771101071 hasConcept C145804949 @default.
- W2771101071 hasConcept C146978453 @default.
- W2771101071 hasConcept C154945302 @default.
- W2771101071 hasConcept C157170001 @default.
- W2771101071 hasConcept C171769113 @default.
- W2771101071 hasConcept C176856949 @default.
- W2771101071 hasConcept C2781241145 @default.
- W2771101071 hasConcept C33923547 @default.
- W2771101071 hasConcept C36503486 @default.
- W2771101071 hasConcept C38652104 @default.
- W2771101071 hasConcept C41008148 @default.
- W2771101071 hasConcept C42475967 @default.
- W2771101071 hasConcept C98045186 @default.
- W2771101071 hasConceptScore W2771101071C110875604 @default.
- W2771101071 hasConceptScore W2771101071C111919701 @default.
- W2771101071 hasConceptScore W2771101071C127413603 @default.
- W2771101071 hasConceptScore W2771101071C134306372 @default.
- W2771101071 hasConceptScore W2771101071C136764020 @default.
- W2771101071 hasConceptScore W2771101071C145804949 @default.
- W2771101071 hasConceptScore W2771101071C146978453 @default.
- W2771101071 hasConceptScore W2771101071C154945302 @default.
- W2771101071 hasConceptScore W2771101071C157170001 @default.
- W2771101071 hasConceptScore W2771101071C171769113 @default.
- W2771101071 hasConceptScore W2771101071C176856949 @default.
- W2771101071 hasConceptScore W2771101071C2781241145 @default.
- W2771101071 hasConceptScore W2771101071C33923547 @default.
- W2771101071 hasConceptScore W2771101071C36503486 @default.
- W2771101071 hasConceptScore W2771101071C38652104 @default.
- W2771101071 hasConceptScore W2771101071C41008148 @default.
- W2771101071 hasConceptScore W2771101071C42475967 @default.
- W2771101071 hasConceptScore W2771101071C98045186 @default.
- W2771101071 hasLocation W27711010711 @default.
- W2771101071 hasOpenAccess W2771101071 @default.
- W2771101071 hasPrimaryLocation W27711010711 @default.
- W2771101071 hasRelatedWork W1502745399 @default.
- W2771101071 hasRelatedWork W1507312420 @default.
- W2771101071 hasRelatedWork W160290126 @default.
- W2771101071 hasRelatedWork W1976643829 @default.
- W2771101071 hasRelatedWork W2073304631 @default.
- W2771101071 hasRelatedWork W2093160502 @default.
- W2771101071 hasRelatedWork W2236328047 @default.
- W2771101071 hasRelatedWork W2281971429 @default.
- W2771101071 hasRelatedWork W2479819951 @default.
- W2771101071 hasRelatedWork W2599148221 @default.
- W2771101071 hasRelatedWork W2614450113 @default.
- W2771101071 hasRelatedWork W2727902639 @default.
- W2771101071 hasRelatedWork W2810625963 @default.
- W2771101071 hasRelatedWork W2902415484 @default.
- W2771101071 hasRelatedWork W2907764208 @default.
- W2771101071 hasRelatedWork W2907977958 @default.
- W2771101071 hasRelatedWork W3015919540 @default.
- W2771101071 hasRelatedWork W3081893899 @default.
- W2771101071 hasRelatedWork W3082000510 @default.
- W2771101071 hasRelatedWork W3096620731 @default.
- W2771101071 isParatext "false" @default.
- W2771101071 isRetracted "false" @default.
- W2771101071 magId "2771101071" @default.
- W2771101071 workType "article" @default.