Dijital Tuğla - Bölüm 16: Yapay Zeka Odaklı Taşeron Yönetimi - Yapay Zeka Taşeron Performansını A...

25 Jul 2025 · 41 min
41:18

In this episode of the "Dijital Tuğla" podcast, hosts Haluk Eginer and Cem Kafadar explore how artificial intelligence can reshape subcontractor (taşeron) management in the construction industry. They begin by discussing public fears about AI surveillance, citing real‑world examples of hacked security cameras and deep‑fake voice scams. The conversation then moves to the core technical and ethical challenges of AI‑driven subcontractor scoring: the need for algorithmic transparency, explainability, and safeguards against data bias. They propose feedback mechanisms that let subcontractors contest low scores and provide contextual explanations (e.g., weather‑related delays). The hosts calculate a simple ROI model, showing how AI can save costs by reducing rework, optimizing workforce allocation, and enabling early defect detection through drones and computer‑vision. Psychological effects of constant monitoring on field workers are examined, along with leadership strategies for introducing AI without triggering paranoia. The episode stresses the emergence of new competencies—digital literacy and data awareness—and predicts the rise of digital reputation scores that could be used globally to match subcontractors with projects. They outline the full cost structure of AI adoption (licenses, training, infrastructure, maintenance) and argue for ethical governance that balances surveillance with human oversight. Finally, they paint a 15‑year scenario where a worldwide AI‑enabled construction ecosystem uses standardized digital IDs, holographic project rooms, and hybrid human‑AI roles to drive efficiency, sustainability, and trust.

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