A domain-independent review of explainable AI’s role in facilitating innovation and creativity in organizations
Year: 2025
Type: article
Abstract: Explainable Artificial Intelligence (XAI) offers transparency and interpretability in AI systems, addressing the opacity of traditional models. This review examines how XAI fosters innovation and creativity in organizations by enhancing decision-making, trust, and collaboration across diverse domains such as healthcare, manufacturing, and agriculture. Thematic analysis of relevant literature reveals that XAI builds stakeholder confidence, promotes ethical practices, and bridges gaps between technical and non-technical teams, encouraging inclusive problem-solving. While this study highlights significant short-term benefits, future longitudinal research is necessary to explore XAI’s long-term impact. This paper provides insights for academics, practitioners, and policymakers, emphasizing XAI's potential to foster innovation.
Authors: Miha Lavrič, Aurora Lea Lavrič
Institution: DOBA Business School
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413082913