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Artificial intelligence as unfinished work: challenges and misconceptions in contemporary education

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Sociais
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg16:Paz, Justiça e Instituições Eficazes
dc.contributor.authorBorges Gouveia, Luis
dc.contributor.editorEsil University. Astana. Kazakhstan.
dc.date.accessioned2026-07-17T15:25:04Z
dc.date.available2026-07-17T15:25:04Z
dc.date.issued2026-01
dc.description.abstractThis presentation offers a critical analysis of the integration of Artificial Intelligence within the educational ecosystem, starting from the premise that true Artificial Intelligence does not yet exist. What we currently use are powerful statistical systems, although fluent and fast, they that lack human understanding, causal reasoning, and the ability to verify truth. The discussion focuses on the intellectual danger of substituting verification with speed and reasoning with trust, which leads a society to stop questioning. Instead of genuine education, we are witnessing the emergence of dependency training, where students are taught to use tools to generate ideas or summaries, rather than learning how to refute, reason, or ask why. The narrative that AI is a finished product is a curiosity-killer; in reality, we are only at the beginning of a process filled with unsolved problems regarding bias and explainability. Therefore, it is argued that every AI output should be treated as a hypothesis rather than a definitive answer, and every model as a study case instead of an oracle. The ultimate goal is to ensure that learners do not become passive users of alien intelligence, but remain curious minds engaged in the sovereign act of discovery.eng
dc.identifier.citationGouveia, L. B. (2026). Artificial intelligence as unfinished work: challenges and misconceptions in contemporary education. In A. A. Taubayev (Ed.), Artificial Intelligence, Inclusion, and Academic Integrity: Balance of Innovation and Educational Values: Materials of the International Educational and Methodological Conference (pp. 5–9). Esil University. Astana. Kazakhstan.
dc.identifier.urihttp://hdl.handle.net/10284/15532
dc.language.isoeng
dc.peerreviewedyes
dc.relation*TRS Tecnologia, Redes e Sociedade
dc.relation.ispartofseriesArtificial Intelligence, Inclusion, and Academic Integrity: Balance of Innovation and Educational Values: Materials of the International Educational and Methodological Conference
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital literacy
dc.subjectCritical thinking
dc.subjectTechnology dependence
dc.subjectKnowledge construction
dc.titleArtificial intelligence as unfinished work: challenges and misconceptions in contemporary educationeng
dc.typetext
dspace.entity.typePublication
oaire.citation.endPage9
oaire.citation.issue1
oaire.citation.startPage5
oaire.citation.volume1
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBorges Gouveia
person.givenNameLuis
person.identifierxF1eGXcAAAAJ&hl
person.identifier.ciencia-id6B1C-3509-9FA5
person.identifier.orcid0000-0002-2079-3234
relation.isAuthorOfPublication5bca0222-5e07-4f60-91a0-25ac0242ae51
relation.isAuthorOfPublication.latestForDiscovery5bca0222-5e07-4f60-91a0-25ac0242ae51

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