| Title |
A Study on the Potential for Integrated Human-AI Collaboration in Public Architectural Design Competitions |
| Authors |
박한울(Park, Han-Wool) ; 임영환(Lim, Yeong-Hwan) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.6.133 |
| Keywords |
Public architectural design competition; Artificial Intelligence(AI); Human?AI collaboration; Procedural fairness; Data governance |
| Abstract |
This study reframes artificial intelligence (AI) not as a replacement for human judgment, but as a collaborative support system in public
architectural design competitions. To address procedural opacity and cognitive bias in existing evaluation systems, a data-driven and
record-centered framework for Human-AI collaboration is proposed. Drawing on insights from behavioral decision research and contemporary
AI governance frameworks, the study develops a process model that includes data quality management, visualization of evaluative reasoning,
the controlled integration of multimodal indicators, and lifecycle risk management procedures. International frameworks, including the European
Union AI Act, the National Institute of Standards and Technology AI Risk Management Framework, and the Organisation for Economic
Co-operation and Development AI Principles, are referenced to ensure legal, ethical, and institutional coherence. Rather than claiming
empirical performance gains, the proposed model aims to strengthen procedural fairness by structuring evidence, improving transparency, and
reinforcing institutional trust in public architectural design competitions. Ultimately, AI is positioned not as an autonomous decision-maker, but
as an institutional mechanism that enhances procedural fairness in architectural evaluation. |