AI Ethics & Compliance
Published February 16, 2026 | Version v1
Working paper Open

From Industrial Electrification to Artificial Intelligence: Institutional Lessons from Construction Governance for AI Risk Regulation

Authors/Creators

  • 1. Haiec

Description

This working paper analyzes the institutional evolution of construction governance and applies its structural lessons to artificial intelligence risk regulation. Drawing from historical developments in mechanization, electrification, occupational safety regulation, professional licensing, and insurance enforcement, the paper proposes a phased governance maturation model for AI systems. The analysis argues that AI functions as a general purpose cognitive infrastructure technology and will likely undergo layered regulatory consolidation, insurance normalization, and professional credentialing similar to prior high risk industries

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Institutional Lessons from Construction Governance for AI Risk Regulation.pdf

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Additional details

References

  • International Organization for Standardization. (2023). ISO/IEC 42001:2023: Information technology, artificial intelligence, management system. ISO. https://www.iso.org/standard/42001
  • European Parliament and Council of the European Union. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union, L 2024/1689. https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng
  • Abbott, A. (1988). The system of professions: An essay on the division of expert labor. University of Chicago Press.
  • KC, S. (2025). The Instruction Stack Audit Framework (ISAF): A technical methodology for tracing AI accountability across nine abstraction layers. Zenodo. https://zenodo.org/records/18080355
  • Weil, D. (2001). Assessing OSHA performance: New evidence from the construction industry. Journal of Policy Analysis and Management, 20(4), 651-674.