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dc.contributor.authorAlcelay Larrarte, Claudia
dc.date.accessioned2025-12-12T19:02:35Z
dc.date.available2025-12-12T19:02:35Z
dc.date.issued2025-06-01
dc.identifier.urihttp://hdl.handle.net/10366/168260
dc.description.abstractThis research carries significant potential benefits for a diverse group of stakeholders. Project managers will gain a more profound understanding of how cognitive biases can be amplified or newly introduced through the integration of AI tools into their decision-making processes, empowering them to adopt more critical evaluation practices and develop strategies for bias mitigation. AI developers can leverage the research findings to gain insights into the specific cognitive biases prevalent in project management, guiding them in the design and refinement of AI systems that are more robust, fair, and less likely to perpetuate biased outcomes. Organizational leaders can utilize the research to inform the implementation of targeted training programs focused on bias awareness and to develop informed policies and guidelines for the e9ective and responsible adoption of AI in project management contexts. Furthermore, policymakers can draw upon this research to inform the development of broader ethical guidelines and accountability frameworks for the application of AI within professional domains, ensuring fairness and transparency.es_ES
dc.language.isoenges_ES
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectplan de investigaciónes_ES
dc.subjectresearch planes_ES
dc.subjectsociedad del conocimientoes_ES
dc.subjectknowledge societyes_ES
dc.subjectConversational AIes_ES
dc.subjectProject Decision Makinges_ES
dc.titleBehavioral Design of a Conversational AI to Support Unbiased Project Decision Makinges_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.subject.unesco5311 Organización y Dirección de Empresases_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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