Problems and opportunities of artificial intelligence

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dc.authorid0000-0002-7909-3734
dc.authorscopusid26429334100
dc.authorwosidEZJ-1479-2022
dc.contributor.authorGürsakal, Necmi
dc.contributor.authorÇelik, Sadullah
dc.contributor.authorBatmaz, Bülent
dc.contributor.authorid16040
dc.date.accessioned2023-09-08T09:31:47Z
dc.date.available2023-09-08T09:31:47Z
dc.date.issued2022
dc.departmentFakülteler, Sanat ve Sosyal Bilimler Fakültesi, Psikoloji Bölümü
dc.description.abstractThis article reviews Artificial Intelligence (AI)’s challenges and opportunities and discusses where AI might be headed. In the first part, it was tried to reveal the differences between Symbolic AI and Deep Learning approaches, then long promises but short deliveries of AI were mentioned. The problems of AI are that the media has high expectations about artificial intelligence and keeps the problems and restrictions it creates low. Today, while AI is stuck with issues such as deepfake applications and carbon footprints that create moral and climatologic problems; on the other hand, it is struggling with problems such as deep learning models requiring huge amounts of data. Another problem with deep learning is that deep learning models are a blackbox and not open to improvements because it is not known where mistakes were made. Among the new paths ahead of AI are Hierarchical Temporal Memory (HTM) models and hybrid models that generally try to bridge the gap between Symbolic AI and Connectionist AI. If we consider that the most important leaps in AI have been made with the features of the brain that AI can imitate, then the developed HTM models may also be a new opportunity for AI.
dc.identifier.citationGürsakal, N. , Çelik, S. & Batmaz, B. (2022). Problems and opportunities of artificial intelligence. Akademik Yaklaşımlar Dergisi, 13(1), 203-225. https://doi.org/10.54688/ayd.1104830.
dc.identifier.doi10.54688/ayd.1104830
dc.identifier.endpage225
dc.identifier.issn2146-1740
dc.identifier.issue1
dc.identifier.startpage203
dc.identifier.trdizinid1104376
dc.identifier.urihttps://dspace.mudanya.edu.tr/handle/20.500.14362/153
dc.identifier.volume13
dc.institutionauthorGürsakal, Necmi
dc.language.isoen
dc.publisherİnönü Üniversitesi
dc.relation.journalAkademik Yaklaşımlar Dergisi
dc.relation.publicationcategoryMakale- Uluslararası- Hakemli Dergi- Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectHierarchical temporal memory
dc.subjectDeep learning
dc.subjectGPT-3
dc.subjectBlack-box
dc.subjectCarbon footprint
dc.titleProblems and opportunities of artificial intelligence
dc.typeMakale
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