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Call for Papers

 Humanities and Social Sciences Communications (Nature)

Topic: Artificial intelligence and innovation in the human-tech nexus

Submission deadline: March 27, 2026

The rapid advancement of artificial intelligence (AI) has fundamentally transformed human-technology interactions. These innovations represent a groundbreaking shift in the human-tech nexus, introducing new opportunities and challenges across industries, organizations, and society. While AI systems are primarily driven by computational advancements, their influence extends far beyond technology, shaping decision-making, collaboration, and creative processes in profound ways. AI's ability to generate language, assist in complex problem-solving, and drive automation is reshaping industries, organizational strategies, and innovation ecosystems. However, the broader implications of these systems remain underexplored.  

This collection seeks to foster an interdisciplinary dialogue among AI researchers, innovation scholars, business and management experts, and human-computer interaction specialists. Understanding the convergence of AI and innovation is crucial to advancing theoretical insights and providing practical guidance on integrating AI in diverse domains. We invite high-quality, original research articles, theoretical contributions, and systematic reviews that explore the intersection of AI, technological transformation, and innovation. Submissions should examine how these technologies influence and redefine creative processes, organizational strategies, knowledge-sharing mechanisms, and the evolving nature of human-machine collaboration.  

This collection is open to a range of topics, including but not limited to: 

AI and human-technology interaction 

• AI-driven decision-making: opportunities and risks in various industries  
• The evolving role of AI in leadership, teamwork, and organizational culture  
• AI's impact on human adaptability and learning in the digital workplace
• Trust and reliance on AI systems: determinants and consequences
• Cross-cultural variations in AI adoption and integration
• Ethical considerations and governance frameworks for AI implementation.

AI, innovation, and creativity 

• AI as a driver of organizational and technological innovation  
• AI-facilitated creative problem-solving in teams and industries  
• The role of AI in enhancing individual and collective innovation capabilities
• AI-assisted knowledge-sharing mechanisms and their impact on innovation outcomes
• Case studies of AI-driven innovation strategies in business and public policy
• The implications of AI-generated content for authorship, intellectual property, and authenticity

• AI and the future of work: automation, augmentation, and collaboration

Read the full call here: https://www.nature.com/collections/gjidhbcbjc

Guest Editors

Prof. Kazuhiro Asakawa, PhD

Prof. Yi Li , PhD 

Prof. Lusi Wu, PhD

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