Adoption and Adaptation of Generative Artificial Intelligence in Organizations: Actions for Efficient and Responsible Use in Interaction with Collaborators
Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 03
Abstract
The aim of this work was to determine the actions needed to adopt and adapt Generative Artificial Intelligence (GenAI) for efficient and responsible use in the organization, without affecting the contribution of the collaborator to his/her work activities. A bibliographic review of the scientific literature and information published by consulting companies on the current development of research related to GenAI and its impact on organizations was carried out. Artificial intelligence search tools, academic search engines were used, and criteria for the inclusion and exclusion of publications were established. As a result, necessary actions were identified for the adoption, adaptation, efficient and responsible use, and interaction of GenAI with employees in their work environment. These actions include the adjustment of processes, infrastructure, and resources; capacity-building for integration and a culture of innovation, protocol development, staff training, creation of flexible and supportive working environments, collaboration with regulators, transformation of work; and alignment of staff management practices. It was concluded that GenAI is having a major impact on organizations by automating processes and increasing productivity and efficiency. It is essential to address actions in three categories: staff training, fostering a culture of innovation, ethics, and accountability in the use of this technology, and its efficient adoption and adaptation without affecting the contribution of employees. This research helps to identify the elements needed to deepen research development and define, in real contexts, the effectiveness of the adoption and efficient adaptation of GenAI in internal processes and interaction with collaborators, with the aim of promoting best practices that generate value through its use.
Authors and Affiliations
Noé Chávez Hernández,
Keywords
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- EP ID EP733089
- DOI 10.47191/ijcsrr/V7-i3-56
- Views 50
- Downloads 0
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