Week 2 — Introduction to AI in Construction
Foundations
This article introduced core AI concepts and examined early-stage applications
within the construction industry, including automation, data processing,
and decision support tools.
- Main Idea: AI enhances efficiency but depends heavily on data quality
- Key Insight: Adoption is limited by fragmented construction workflows
- Relevance: Sets the foundation for understanding AI integration in projects
Week 3 — Artificial General Intelligence
Decision Analysis
Focused on probabilistic modeling, decision trees, and AI-assisted tools
used to support better decision-making under uncertainty in construction projects.
- Main Idea: AI improves structured decision-making through data modeling
- Key Insight: Tools like EMV help quantify risk in bidding and planning
- Relevance: Directly applicable to estimating, scheduling, and risk management
Week 5 — Artificial Super Intelligence
Automation
Examined the role of robotics, automation, and AI in improving productivity
across construction workflows while also impacting labor dynamics.
- Main Idea: Automation reduces inefficiencies in repetitive tasks
- Key Insight: Workforce adaptation is a major challenge
- Relevance: Critical for understanding future construction jobsite evolution