According to Stanford’s AI Index report 2026, 88% of surveyed organizations used AI in at least one business function; with 70% reported the use of generative AI. From 2023 to 2025 the increase of AI adoption is approximately 60%. The global shift makes AI participation in the business ecosystem essential and calls for serious considerations of AI integration implications.

Having this tremendous pace of AI evolution makes it fundamental to ask whether the key ecosystem participants are evolving or adapting at an adequate pace. Particularly in terms of human capabilities and skills, organizational configurations, cultural dynamics, accessibility considerations, linguistic adequacy, and of course the existing technological systems and processes. Yet, anticipating and preparing for the future digital divide would be highly challenging when designing strategic plans and visions for a highly dynamic AI-driven economy. Therefore, there is an urgent need to rethink the co-existence of machine intelligence and human expertise, in such a way that preserves human agency and mitigates the socio-technical bias toward trustworthy intelligent ecosystems.

The rise of the AI era calls for reimagining the ecology of knowledge, taking into consideration the key pillars of knowledge-driven economy. Knowledge management, value creation, accessibility, and inclusion are directly affected by the complex interactions among humans, AI, technology, and cultures. On one hand, new forms of knowledge are discovered, preserved, curated, and distributed. On the other hand, evolution may unintentionally limit the participation of humans in AI-based systems. The design of Human-AI ecology should consider the key pillars and different contexts to be fairly inclusive, accessible, and equitable.

IncHAIR  track encourages interdisciplinary research that contributes to the design and reimagining of inclusive human-AI driven ecologies. The aim is to answer questions and fill the gaps regarding the design of evolving and sustainable human-AI relationships. Keeping the human centric approach and inclusion-by-design part of the evolution. IncHAIR solicits original works in the form of conceptual, empirical or methodological contributions related directly or indirectly to inclusive human-AI ecologies for knowledge and value re-creation. Research exploring sector specific case studies, diversity-based implementations, and practical frameworks are strongly encouraged.