Abstract

This research aimed to develop human-AI synergy via hybrid museum experiences (HASHME) to enhance artificial intelligence journalist characteristics. The authors divided the study into six phases. 1) Synthesizing the process of synergy between human and AI. 2) Synthesizing the elements of a hybrid museum experiences. 3) Synthesizing the artificial intelligence journalist characteristics. 4) Developing models for HASHME. 5) Develop a system for integrating HASHME to foster artificial intelligence journalist characteristics. and 6) Assessing the artificial intelligence journalist characteristics. This study utilizes hybrid museum experiences for facilitating student learning. The authors found that the overall suitability of the human-AI synergy model components through the hybrid museum experiences to promote artificial intelligence journalist characteristics was at the highest level of expertise (x̅= 4.85). The synergy between human and AI in a hybrid museum experiences, it was found that the assessment of the artificial intelligence journalist characteristics from the sample group, when compared to the criteria, showed that the overall artificial intelligence journalist characteristics were at a very high level. (x̅= 3.25). The research findings will lead to an improvement in the standards of the journalist by defining a framework of competencies and desirable attributes for artificial intelligence journalist. Higher education institutions can use this as a model for updating and modernizing curricula in journalist and mass media studies.

This work is licensed under a Creative Commons Attribution 4.0 License.