Artificially Conscious Information Systems: Towards A Strategic Assessment

dc.contributor.authorElnagar, Samaa
dc.date.accessioned2024-12-26T21:08:45Z
dc.date.available2024-12-26T21:08:45Z
dc.date.issued2025-01-07
dc.description.abstractThe new wave of intelligent information systems (IIS) showed signs of artificial consciousness, and there has been an open deliberation about the level of consciousness of these artificially conscious information systems (ACIS). AI acquires artificial consciousness through attention mechanisms to find the relationship between pieces of information. These systems are used extensively in many business areas through replacement and augmentation. However, the extent to which businesses could depend on AI as conscious beings is widely debatable. Assessing the level of consciousness in these intelligent systems is crucial to establishing reliability, morality and maintaining competitive advantage. In this research, we're introducing a new method for evaluating the artificial consciousness of ACIS from a business perspective. This research is a primitive step towards building a comprehensive model that evaluates the level of consciousness in artificially conscious information systems.
dc.format.extent9
dc.identifier.doi10.24251/HICSS.2025.603
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.otherd8cd53cf-8819-443f-8c47-ce948040734e
dc.identifier.urihttps://hdl.handle.net/10125/109450
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectImpact of Knowledge and AI Systems
dc.subjectartificial consciousness; artificial intelligence; strategic alignment; artificially conscious information systems; adaptive learning.
dc.titleArtificially Conscious Information Systems: Towards A Strategic Assessment
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage5005

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