VISUAL STORYTELLING AND EXPLAINABLE INTELLIGENCE IN ORGANIZATIONAL CHANGE COMMUNICATION

Shikha Verma Kashyap; Shradha Purohit; Dr. Arvind Kumar; Farah Iqbal Mohd Jawaid; Jambi Ratna Raja Kumar; Samir N. Ajani

doi:10.29121/shodhkosh.v6.i5s.2025.6965

Authors

Shikha Verma Kashyap Professor, AAFT University of Media and Arts, Raipur, Chhattisgarh-492001, India
Shradha Purohit Associate Professor, SJMC, Noida International University, Noida, Uttar Pradesh, India
Dr. Arvind Kumar Department of Computer Science and Engineering, CT University, Ludhiana, Punjab, India
Farah Iqbal Mohd Jawaid Assistant Professor, Department of Artificial Intelligence & Data Science, Vishwakarma Institute of Technology, Pune, Maharashtra-411037, India
Dr. Jambi Ratna Raja Kumar Department of Computer Engineering, Genba Sopanrao Moze College of Engineering, Pune-411045, Maharashtra, India
Dr. Samir N. Ajani School of Computer Science and Engineering, Ramdeobaba University (RBU), Nagpur, Maharashtra, India

DOI:

https://doi.org/10.29121/shodhkosh.v6.i5s.2025.6965

Keywords:

Visual Storytelling, Explainable Artificial Intelligence, Organizational Change, Communication, Decision Transparency, Stakeholder Engagement, Human-Centered Intelligence

Abstract [English]

The failure to align communication, trust, and lack of understanding of complex strategic decisions by stakeholders is a common cause of failure in the organization change initiatives. This study discusses the use of visual storytelling in conjunction with explainable artificial intelligence to promote organizational change communication through better sensemaking, transparency, and interactions among various stakeholder groups. Visual storytelling enables visually structured development of abstract change narratives, data trends, and strategic rationales into coherent visual pattern including timelines, process maps, and narrative dashboards to enable intuitive understanding and emotional appeal. Explainable intelligence is a complement to this method that exposes the logic, assumptions, and dependencies of data that underlie AI-based recommendations in change planning, risk analysis and performance projection. Using human-oriented images combined with decipherable AI products, the proposed framework will bridge the gap between analytical systems of decision making and human cognition. The research paradigm is that of a multi-layered communicative approach where visual-based stories situate explainable knowledge, thereby enabling the leader to provide information about what is being done, as well as why the decisions are defensible. This strategy facilitates development of trust, minimizes resistance and allows people to be informed when undergoing transformation processes. The paper proposed framework brings out essential dimensions such as interpretability, narrative coherence, cognitive load reduction and ethical transparency. The study is significant to the organizational communication theory because it places explainable intelligence as a communicative resource instead of a strictly technical characteristic. In practical terms it provides the principles of design of implementation of AI-aided visual narratives to change management and other applications in leadership communication, allowing enduring alignment, responsibility, and mutual organizational perception during change in multiplex institutional settings.

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