Envisioning the Future of Emergency Management focused on Artificial Intelligence

dc.contributor.authorAlvear Alvear, Oscar Patricio
dc.contributor.authorNúñez Ávila, Ana Gabriela
dc.contributor.authorParra González, Luis Otto
dc.contributor.ponenteNúñez Ávila, Ana Gabriela
dc.date.accessioned2024-07-15T17:52:11Z
dc.date.available2024-07-15T17:52:11Z
dc.date.issued2024
dc.descriptionArtificial Intelligence (AI) in Emergency Management integration has become crucial to improving crisis response efficiency and effectiveness. AI presents new paradigms for responding to emergencies but poses technical and operational challenges, ethical considerations, and the need for robust regulatory frameworks. The study examines various AI applications in emergency scenarios and employs a systematic literature review methodology to identify solutions and future directions for ethical and effective AI integration. The findings highlight the critical balance between leveraging AI capabilities and ensuring safety, privacy, and ethical compliance. Understanding AI's full scope and potential in this critical field is essential as we navigate technological advancements. The article contributes to understanding AI's potential to transform emergency management practices and emphasizes the importance of ethical considerations and regulatory frameworks.
dc.description.abstractArtificial Intelligence (AI) in Emergency Management integration has become crucial to improving crisis response efficiency and effectiveness. AI presents new paradigms for responding to emergencies but poses technical and operational challenges, ethical considerations, and the need for robust regulatory frameworks. The study examines various AI applications in emergency scenarios and employs a systematic literature review methodology to identify solutions and future directions for ethical and effective AI integration. The findings highlight the critical balance between leveraging AI capabilities and ensuring safety, privacy, and ethical compliance. Understanding AI's full scope and potential in this critical field is essential as we navigate technological advancements. The article contributes to understanding AI's potential to transform emergency management practices and emphasizes the importance of ethical considerations and regulatory frameworks.
dc.description.cityMünster
dc.identifier.isbn0
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/44891
dc.identifier.urihttps://ojs.iscram.org/index.php/Proceedings/article/view/42
dc.language.isoes_ES
dc.publisherISCRAM
dc.sourceProceedings of the 21st ISCRAM Conference
dc.subjectEmergency Management
dc.subjectArtificial Intelligence
dc.subjectEthical Considerations
dc.subjectTechnologies
dc.titleEnvisioning the Future of Emergency Management focused on Artificial Intelligence
dc.title.alternativeEnvisioning the Future of Emergency Management focused on Artificial Intelligence.
dc.typeARTÍCULO DE CONFERENCIA
dc.ucuenca.afiliacionAlvear, O., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
dc.ucuenca.afiliacionNuñez, A., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
dc.ucuenca.afiliacionParra, L., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
dc.ucuenca.areaconocimientofrascatiamplio2. Ingeniería y Tecnología
dc.ucuenca.areaconocimientofrascatidetallado2.11.2 Otras Ingenierias y Tecnologías
dc.ucuenca.areaconocimientofrascatiespecifico2.11 Otras Ingenierias y Tecnologías
dc.ucuenca.areaconocimientounescoamplio06 - Información y Comunicación (TIC)
dc.ucuenca.areaconocimientounescodetallado0613 - Software y Desarrollo y Análisis de Aplicativos
dc.ucuenca.areaconocimientounescoespecifico061 - Información y Comunicación (TIC)
dc.ucuenca.comiteorganizadorconferenciaISCRAM
dc.ucuenca.conferenciaProceedings of the 21st ISCRAM Conference
dc.ucuenca.correspondenciaNuñez Avila, Ana Gabriela, anag.nunez@ucuenca.edu.ec
dc.ucuenca.fechafinconferencia2024-05-29
dc.ucuenca.fechainicioconferencia2024-05-25
dc.ucuenca.idautor0103922308
dc.ucuenca.idautor0102214749
dc.ucuenca.idautor0104162284
dc.ucuenca.indicebibliograficoSIN INDEXAR
dc.ucuenca.numerocitaciones0
dc.ucuenca.organizadorconferenciaISCRAM
dc.ucuenca.paisALEMANIA
dc.ucuenca.urifuentehttps://ojs.iscram.org/index.php/Proceedings
dc.ucuenca.versionVersión publicada
dc.ucuenca.volumenVolumen 21

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