This paper aims to look into possibilities of future writing in the age of artificial intelligence. ‘Who writes’ matters in a technological culture of co-existence of humans and machines. I thus investigate the aligned questions of ‘why we write’ and ‘how we write’, exploring writing with imagination, namely, narrative writing, for communication and transmission. As for methodology, I examine three domains of narrative with imagination based on Peirce’s metaphysical semiotics and Paul Ricoeur’s imagination theory: esthetics with oneiric imagination, poetics with narrative/analogical imagination, and speculative rhetoric with social imagination. I argue that narrative communication with social imagination which comprises an explanatory narrative process of quality through fact to representation for dialogic abduction is geared toward discovering self’s identity by means of re-authoring conversation. This thus results in enhancing a communal narrative self to transmit virtues and values to the following generations.

The integration of Artificial Intelligence (AI) in the healthcare sector represents a major transformation that raises complex issues concerning the technical, organizational, and relational dimensions of the profession. This contribution analyzes the key success factors and obstacles to the implementation of AI in healthcare facilities, adopting a holistic perspective that emphasizes communicational and interprofessional dynamics. Through an analysis of recent literature, we identify promising approaches and necessary conditions for successful AI integration, while preserving the quality of caregiver-patient relationships and interactions among professionals. Our analysis reveals that successful implementation relies on a balanced combination of leadership, end-user training, support for teams in modifying their daily work, and ethical governance. The central role of communication in this transformation process is emphasized, both in change management and in the adaptation of professional practices. We propose recommendations that integrate these different dimensions to guide the development and implementation of AI projects in healthcare, focusing on preserving and enriching human relationships within healthcare organizations.

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