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dc.contributor.author | Lanquillon, Carsten | es_ES |
dc.contributor.author | Schacht, Sigurd | es_ES |
dc.date.accessioned | 2023-03-10T12:29:23Z | |
dc.date.available | 2023-03-10T12:29:23Z | |
dc.date.issued | 2023-01-10 | |
dc.identifier.isbn | 9788413960289 | |
dc.identifier.uri | http://hdl.handle.net/10251/192480 | |
dc.description.abstract | [EN] Artificial Intelligence (AI) is drastically transforming the world around us. Rather than replacing humans, hybrid intelligence combines human and machine intelligence to leverage each of their individual strengths. We summarize different requirements and approaches identified to achieve hybrid intelligence and focus on conversational AI to build a cognitive agent that supports knowledge management within an organization. The agent automatically extracts knowledge from artifacts provided or published by the users. In addition, the knowledge base steadily grows while the agent talks to the users and the users provide feedback and the system is continuously learning to extract new types of entities and relations to answer more questions based on the knowledge graph and to access other sources of information. The first types of entities and relations extracted already support users in finding colleagues with relevant skills or interests. Based on information provided by the agent, collaboration among employees and, thus, knowledge sharing and transfer is encouraged. The collaboration between the cognitive agent as an AI artifact and employees combined with a system that learns and adapts while in use stressing explainability and trust in its answers entails a step towards hybrid intelligence. | es_ES |
dc.format.extent | 12 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 4th International Conference Business Meets Technology 2022 | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Collaborative work | es_ES |
dc.subject | Hybrid Intelligence | es_ES |
dc.subject | Conversational AI | es_ES |
dc.subject | Knowledge Management | es_ES |
dc.title | Connect.Me: A Step Towards Hybrid Intelligence | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/BMT2022.2022.15629 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Lanquillon, C.; Schacht, S. (2023). Connect.Me: A Step Towards Hybrid Intelligence. En 4th International Conference Business Meets Technology 2022. Editorial Universitat Politècnica de València. 208-219. https://doi.org/10.4995/BMT2022.2022.15629 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | 4th International Conference. Business Meets Technology | es_ES |
dc.relation.conferencedate | Julio 07-09, 2022 | es_ES |
dc.relation.conferenceplace | Ansbach, Alemania | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/BMT/BMT2022/paper/view/15629 | es_ES |
dc.description.upvformatpinicio | 208 | es_ES |
dc.description.upvformatpfin | 219 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\15629 | es_ES |