Cultural and Sectoral Adaptivity in AI Incident Taxonomies: Toward Globally Inclusive Governance Frameworks

Current incident reporting systems often rely on static, monolingual, and sector-agnostic taxonomies (e.g., Agarwal & Nene, 2025), which may obscure culturally or contextually specific risks. Building on the gaps identified by Franccois et al. (2025) and the success of I-SIRch in surfacing human factors in maternity care (Singh et al., 2024), this project proposes the co-creation and empirical validation of adaptive taxonomies that evolve with input from diverse sectors and linguistic communities. By leveraging large language models (Annevirta & Saarenpää, 2025) for automated translation and classification, and embedding participatory taxonomy refinement workshops, the research would create a toolkit for policymakers to localize reporting standards. This would help surface previously invisible risks, address global disparities in AI safety, and foster regulatory cooperation across jurisdictions.

References:

1. Incorporating AI Incident Reporting into Telecommunications Law and Policy: Insights from India. Avinash Agarwal, M. Nene (2025). arXiv.org.
2. I-SIRch: AI-powered concept annotation tool for equitable extraction and analysis of safety insights from maternity investigations. Mohit Kumar Singh, Georgina Cosma, Patrick Waterson, Jonathan Back, G. T. Jun (2024). International Journal of Population Data Science.
3. A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety. Camille Franccois, Ludovic Peran, Ayah Bdeir, Nouha Dziri, Will Hawkins, Yacine Jernite, Sayash Kapoor, Juliet Shen, Heidy Khlaaf, Kevin Klyman, Nik Marda, Marie Pellat, Deborah Raji, Divya Siddarth, Aviya Skowron, Joe Spisak, M. Srikumar, Victor Storchan, Audrey Tang, Jen Weedon (2025).
4. Exploring the Potential of LLMs for Patient Safety Incident Reporting in Finland: Interview Insights and a Proof-of-Concept Study.. Jusa Annevirta, I. Saarenpää (2025). Studies in Health Technology and Informatics.